Business applications Books

Book SynopsisOne practical book that''s ten books in one: Learn everything you need to know about Microsoft Office with one comprehensive guide on your bookshelf To know your way around all the applications within Microsoft Office would require you to be part mathematician, part storyteller, and part graphic designer--with some scheduling wizard and database architect sprinkled in. If these talents don''t come naturally to you in equal measure, don''t panic--Office 2019 All-in-One For Dummies can help. This hefty but easily accessible tome opens with Book 1, an overview of the Office suite of applications and tips for handling text and becoming more efficient. From there, you''ll find a book on each of the suite''s major applications: Word: Learn the basics of word processing with Word, plus lay out text and pages; use Word''s styles and proofing tools; construct tables, reports, and scholarly papers; and become familiar with manipulating documentsTable of ContentsIntroduction 1 What Makes This Book Different 2 Foolish Assumptions 3 Conventions Used in This Book 3 Icons Used in This Book 4 Beyond the Book 4 Book 1: Common Office Tasks 5 Chapter 1: Office Nuts and Bolts 7 A Survey of Office Applications 7 All about Office 365 9 Finding Your Way Around the Office Interface 11 Saving Your Files 18 Navigating the Save As and Open Windows 19 Opening and Closing Files 21 Reading and Recording File Properties 22 Locking a File with a Password 23 Trusting (or not Trusting) Microsoft with Your “Content” 24 Chapter 2: Wrestling with the Text 27 Manipulating the Text 27 Speaking, not Typing, the Words 30 Changing the Look of Text 32 Quick Ways to Handle Case, or Capitalization 39 Entering Symbols and Foreign Characters 41 Creating Hyperlinks 42 Chapter 3: Speed Techniques Worth Knowing About 47 Undoing and Repeating Commands 47 Zooming In, Zooming Out 49 Viewing a File Through More Than One Window 50 Correcting Typos on the Fly 51 Entering Text Quickly with the AutoCorrect Command 52 Book 2: Word 2019 55 Chapter 1: Speed Techniques for Using Word 57 Introducing the Word Screen 57 Creating a New Document 59 Getting a Better Look at Your Documents 61 Selecting Text in Speedy Ways 66 Moving Around Quickly in Documents 67 Inserting a Whole File into a Document 71 Getting Word to Read It 72 Entering Information Quickly in a Computerized Form 72 Chapter 2: Laying Out Text and Pages 77 Paragraphs and Formatting 77 Inserting a Section Break for Formatting Purposes 78 Breaking a Line 81 Starting a New Page 81 Setting Up and Changing the Margins 82 Indenting Paragraphs and First Lines 84 Numbering the Pages 86 Putting Headers and Footers on Pages 89 Adjusting the Space Between Lines 93 Adjusting the Space Between Paragraphs 95 Creating Numbered and Bulleted Lists 96 Working with Tabs 99 Hyphenating Text 101 Chapter 3: Word Styles 105 All About Styles 105 Applying Styles to Text and Paragraphs 107 Creating a New Style 112 Modifying a Style 114 Creating and Managing Templates 116 Chapter 4: Constructing the Perfect Table 123 Talking Table Jargon 124 Creating a Table 124 Entering the Text and Numbers 127 Selecting Different Parts of a Table 128 Laying Out Your Table 128 Aligning Text in Columns and Rows 133 Merging and Splitting Cells 134 Repeating Header Rows on Subsequent Pages 135 Formatting Your Table 137 Using Math Formulas in Tables 140 Neat Table Tricks 141 Chapter 5: Taking Advantage of the Proofing Tools 147 Correcting Your Spelling Errors 148 Correcting Grammatical Errors 151 Finding and Replacing Text 153 Finding the Right Word with the Thesaurus 161 Proofing Text Written in a Foreign Language 162 Translating Foreign Language Text 164 Chapter 6: Desktop Publishing with Word 167 Experimenting with Themes 167 Sprucing Up Your Pages 168 Making Use of Charts, Diagrams, Shapes, and Photos 171 Working with the Drawing Canvas 172 Positioning and Wrapping Objects Relative to the Page and Text 173 Working with Text Boxes 177 Dropping In a Drop Cap 179 Watermarking for the Elegant Effect 180 Putting Newspaper-Style Columns in a Document 181 Landscape Documents 183 Printing on Different Size Paper 184 Showing Online Video in a Document 184 Chapter 7: Getting Word’s Help with Office Chores 187 Highlighting Parts of a Document 187 Commenting on a Document 188 Tracking Changes to Documents 192 Printing an Address on an Envelope 197 Printing a Single Address Label (Or a Page of the Same Label) 199 Churning Out Letters, Envelopes, and Labels for Mass Mailings 200 Chapter 8: Tools for Reports and Scholarly Papers 209 Alphabetizing a List 209 Outlines for Organizing Your Work 210 Collapsing and Expanding Parts of a Document 212 Generating a Table of Contents 213 Indexing a Document 218 Putting Cross-References in a Document 222 Putting Footnotes and Endnotes in Documents 225 Compiling a Bibliography 227 Book 3: Excel 2019 233 Chapter 1: Up and Running with Excel 235 Creating a New Excel Workbook 235 Getting Acquainted with Excel 237 Entering Data in a Worksheet 239 Quickly Entering Lists and Serial Data with the AutoFill Command 245 Formatting Numbers, Dates, and Time Values 248 Establishing Data-Validation Rules 249 Chapter 2: Refining Your Worksheet 253 Editing Worksheet Data 253 Moving Around in a Worksheet 254 Getting a Better Look at the Worksheet 255 Comments for Documenting Your Worksheet 258 Selecting Cells in a Worksheet 260 Deleting, Copying, and Moving Data 261 Handling the Worksheets in a Workbook 261 Keeping Others from Tampering with Worksheets 264 Chapter 3: Formulas and Functions for Crunching Numbers 267 How Formulas Work 267 The Basics of Entering a Formula 273 Speed Techniques for Entering Formulas 273 Copying Formulas from Cell to Cell 279 Detecting and Correcting Errors in Formulas 281 Working with Functions 284 A Look at Some Very Useful Functions 289 Chapter 4: Making a Worksheet Easier to Read and Understand 299 Laying Out a Worksheet 299 Decorating a Worksheet with Borders and Colors 305 Getting Ready to Print a Worksheet 310 Chapter 5: Advanced Techniques for Analyzing Data 317 Seeing What the Sparklines Say 317 Conditional Formats for Calling Attention to Data 319 Managing Information in Lists 320 Forecasting with the Goal Seek Command 323 Performing What-If Analyses with Data Tables 325 Analyzing Data with PivotTables 329 Book 4: Powerpoint 2019 335 Chapter 1: Getting Started in PowerPoint 337 Getting Acquainted with PowerPoint 338 A Brief Geography Lesson 339 A Whirlwind Tour of PowerPoint 340 Creating a New Presentation 341 Advice for Building Persuasive Presentations 344 Creating New Slides for Your Presentation 346 Getting a Better View of Your Work 350 Hiding and Displaying the Slides Pane and Notes Pane 352 Selecting, Moving, and Deleting Slides 352 Putting Together a Photo Album 354 Hidden Slides for All Contingencies 357 Chapter 2: Fashioning a Look for Your Presentation 359 Looking at Themes and Slide Backgrounds 360 Choosing a Theme for Your Presentation 361 Creating Slide Backgrounds on Your Own 362 Changing the Background of a Single or Handful of Slides 368 Choosing the Slide Size 369 Using Master Slides and Master Styles for a Consistent Design 370 Chapter 3: Entering the Text 373 Entering Text 373 Fun with Text Boxes and Text Box Shapes 377 Controlling How Text Fits in Text Frames and Text Boxes 379 Positioning Text in Frames and Text Boxes 382 Handling Bulleted and Numbered Lists 382 Putting Footers (and Headers) on Slides 385 Some background on footers and headers 386 Putting a standard footer on all your slides 386 Creating a nonstandard footer 387 Removing a footer from a single slide 388 Chapter 4: Making Your Presentations Livelier 389 Suggestions for Enlivening Your Presentation 389 Presenting Information in a Table 390 Exploring Transitions and Animations 393 Making Audio Part of Your Presentation 396 Playing Video on Slides 399 Recording a Voice Narration for Slides 403 Chapter 5: Delivering a Presentation 405 All about Notes 405 Rehearsing and Timing Your Presentation 406 Showing Your Presentation 408 Tricks for Making Presentations a Little Livelier 411 Delivering a Presentation When You Can’t Be There in Person 414 Book 5: Outlook 2019 425 Chapter 1: Outlook Basics 427 What Is Outlook, Anyway? 427 Navigating the Outlook Folders 429 Categorizing Items 430 Searching for Stray Folder Items 432 Deleting Email Messages, Contacts, Tasks, and Other Items 435 Cleaning Out Your Folders 436 Chapter 2: Maintaining the Contacts Folder 441 Maintaining a Happy and Healthy Contacts Folder 442 Contact Groups for Sending Messages to Groups 445 Finding a Contact in the Contacts Folder 447 Printing the Contacts Folder 448 Chapter 3: Handling Your Email 451 Setting Up an Email Account 451 Addressing and Sending Email Messages 452 Sending Files and Photos 458 Receiving Email Messages 460 Reading Your Email in the Inbox Window 461 Handling Files That Were Sent to You 463 Techniques for Organizing Email Messages 464 All about Email Folders 468 Yes, You Can Prevent Junk Mail (Sort of) 470 Chapter 4: Managing Your Time and Schedule 473 Introducing the Calendar 473 The Different Kinds of Activities 474 Seeing Your Schedule 475 Scheduling Appointments and Events 477 Scheduling an activity: The basics 477 Scheduling a recurring appointment or event 478 Scheduling an event 479 Canceling, Rescheduling, and Altering Activities 480 Chapter 5: Tasks, Reminders, and Notes 481 Tasks: Seeing What Needs to Get Done 481 Reminders for Being Alerted to Activities and Tasks 484 Making Notes to Yourself 487 Book 6: Access 2019 489 Chapter 1: Introducing Access 491 What Is a Database, Anyway? 492 Tables, Queries, Forms, and Other Objects 492 Creating a Database File 497 Finding Your Way Around the Navigation Pane 499 Designing a Database 501 Chapter 2: Building Your Database Tables 507 Creating a Database Table 507 Opening and Viewing Tables 511 Entering and Altering Table Fields 512 Field Properties for Making Sure That Data Entries Are Accurate 518 Indexing for Faster Sorts, Searches, and Queries 526 Establishing Relationships Among Database Tables 528 Chapter 3: Entering the Data 535 The Two Ways to Enter Data 535 Entering the Data in Datasheet View 536 Entering the Data in a Form 540 Finding a Missing Record 542 Finding and Replacing Data 543 Chapter 4: Sorting, Querying, and Filtering for Data 545 Sorting Records in a Database Table 545 Filtering to Find Information 546 Querying: The Basics 552 Six Kinds of Queries 560 Chapter 5: Presenting Data in a Report 567 Creating a Report 567 Opening and Viewing Reports 569 Tweaking a Report 569 Book 7: Publisher 2019 573 Chapter 1: Introducing Publisher 575 “A Print Shop in a Can” 575 Introducing Frames 576 Creating a Publication 577 Redesigning a Publication 578 Getting a Better View of Your Work 580 Understanding and Using the Layout Guides 582 Chapter 2: Refining a Publication 587 Entering Text on the Pages 587 Making Text Fit in Text Frames 588 Formatting Text 592 Making Text Wrap around a Frame or Graphic 592 Replacing the Placeholder Pictures 593 Inserting Frames on the Pages 594 Making Frames Overlap 596 Inserting, Removing, and Moving Pages 596 Chapter 3: Putting on the Finishing Touches 599 Decorating the Text 600 Techniques for Decorating Pages 602 Master Pages for Handling Page Backgrounds 606 Running the Design Checker 608 Commercially Printing a Publication 609 Book 8: Working with Charts and Graphics 611 Chapter 1: Creating a Chart 613 The Basics: Creating a Chart 613 Choosing the Right Chart 615 Providing the Raw Data for Your Chart 617 Positioning Your Chart in a Workbook, Page, or Slide 619 Handling the gridlines 624 Changing a chart element’s color, font, or other particular 624 Saving a Chart as a Template So That You Can Use It Again 626 Chart Tricks for the Daring and Heroic 627 Troubleshooting a Chart 630 Chapter 2: Making a SmartArt Diagram 633 The Basics: Creating SmartArt Diagrams 633 Creating the Initial Diagram 636 Changing the Size and Position of a Diagram 638 Laying Out the Diagram Shapes 638 Handling the Text on Diagram Shapes 644 Changing a Diagram’s Direction 647 Choosing a Look for Your Diagram 647 Changing the Appearance of Diagram Shapes 648 Creating a Diagram from Scratch 651 Chapter 3: Handling Graphics and Photos 653 All about Picture File Formats 653 Inserting a Picture in an Office File 657 Touching Up a Picture 660 Compressing Pictures to Save Disk Space 668 Chapter 4: Drawing and Manipulating Lines, Shapes, and Other Objects 671 The Basics: Making Lines, Arrows, and Shapes 672 Handling Lines, Arrows, and Connectors 674 Handling Rectangles, Ovals, Stars, and Other Shapes 678 Drawing by Freehand 682 Decorating Your Work with Icons 685 Inserting a 3-D Model 686 WordArt for Embellishing Letters and Words 686 Manipulating Lines, Shapes, Art, Text Boxes, and Other Objects 688 Changing an Object’s Size and Shape 691 Changing an Object’s Color, Outline Color, and Transparency 692 Moving and Positioning Objects 697 Book 9: Office 2019: One Step Beyond 705 Chapter 1: Customizing an Office Program 707 Customizing the Ribbon 707 Customizing the Quick Access Toolbar 713 Customizing the Status Bar 716 Changing the Screen Background and Office Theme 717 Customizing Keyboard Shortcuts in Word 718 Chapter 2: Ways of Distributing Your Work 721 Printing — the Old Standby 721 Distributing a File in PDF Format 723 Sending Your File in an Email Message 725 Saving an Office File as a Web Page 726 Book 10: File Sharing and Collaborating 729 Chapter 1: Up and Running on OneDrive 731 Signing In to OneDrive 731 Exploring the OneDrive Window 733 Managing Your OneDrive Folders 733 Uploading Files to a Folder on OneDrive 738 Saving a File from Office 2019 to OneDrive 739 Opening a File from OneDrive 740 Downloading Files from OneDrive to Your Computer 741 Chapter 2: File Sharing and Collaborating 743 Sharing Files: The Big Picture 743 Sharing Your Files and Folders with Others 745 Inviting people by email 745 Seeing Files and Folders Others Shared with You 748 Investigating and Managing How Files and Folders Are Shared 749 Index 751

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Book SynopsisTable of ContentsIntroduction 1 About This Book 2 About the Version Numbers 3 Foolish Assumptions 3 Conventions Used in This Book 3 Dialog boxes 4 Ribbons and tabs 4 Keyboard shortcuts 5 Icons Used in This Book 6 Part 1: Getting Started with Outlook 2019 7 Chapter 1: Outlook Features You Really Need to Know 9 Explaining Why So Many People Use Outlook 9 Doing Anything in Outlook the Easy Way 10 Using Email: Basic Delivery Techniques 11 Reading email 11 Answering email 12 Creating new email messages 13 Sending a File 14 Maintaining Your Calendar 17 Entering an appointment 17 Managing your schedule 18 Adding a Contact 18 Entering a Task 19 Taking Notes 21 Chapter 2: Inside Outlook: Getting More Done with Less Effort 23 Outlook and Other Programs 24 There’s No Place Like Home: Outlook’s Main Screen 25 Moving between modules 27 Using the Folder pane 28 The Information Viewer: Outlook’s hotspot 29 Navigating folders 31 Tying It All Together: The Ribbon 31 Viewing ScreenTips 32 Using the New Items button 32 Finding Things in a Flash with Instant Search 33 Taking Peeks 35 Getting Help in Outlook 35 Chapter 3: On the Fast Track: Drag ’Til You Drop 37 Dragging 37 Dispatching Tasks in a Flash 39 Making Time Stand Still with Calendar Wizardry 42 Keeping Friends Close and Enemies Closer 44 Creating Instant Email Messages 45 Creating email from a name in your Contacts list 45 Creating an email from an appointment 46 Expanding Your Outlook Workspace 47 Zen of the Right Button 48 Part 2: Taming the Email Beast 49 Chapter 4: The Essential Secrets of Email 51 Front Ends and Back Ends 51 Creating Messages 52 The quick-and-dirty way 52 The slow but complete way 53 Setting priorities 55 Setting sensitivity 57 Setting other message options 58 Adding an Internet link to an email message 58 Reading and Replying to Email Messages 59 Viewing previews of message text 60 Sending a reply 61 Resending messages 63 Don’t get caught by phishing 63 That’s Not My Department: Forwarding Email 64 Blind Copying for Privacy 65 Deleting Messages 66 Saving Interrupted Messages 66 Saving a Message as a File 67 Chapter 5: Email Tools You Can’t Do Without 69 Nagging by Flagging 70 One-click flagging 70 Setting flags for different days 71 Changing the default flag date 71 Adding a flag with a customized reminder 72 Changing the date on a reminder 73 Saving Copies of Your Messages 74 Setting Your Reply and Forward Options 75 Adding Comments to a Reply or a Forward 77 Sending Attachments 78 Emailing Screenshots 80 Creating Signatures for Your Messages 81 Chapter 6: Conquering Your Mountain of Messages 85 Organizing Folders 86 Creating a new mail folder 86 Moving messages to another folder 87 Organizing Your Email with Search Folders 88 Setting up a search folder 88 Using a search folder 90 Deleting a search folder 91 Using the Reading Pane 91 Playing by the Rules 92 Creating a rule 92 Running a rule 95 Filtering Junk Email 96 Fine-tuning the filter’s sensitivity 96 Filtering your email with sender and recipient lists 98 Filtering domains 100 Archiving for Posterity 101 Setting up AutoArchive 102 Setting AutoArchive for individual folders 103 Starting the archive process manually 105 Finding and viewing archived items 106 Closing the archive data file 108 Arranging Your Messages 108 Viewing conversations 111 Ignoring conversations 112 Cleaning up conversations 113 Simplifying Tasks Using Quick Steps 115 Creating and managing Quick Steps 118 Creating Quick Parts to save keystrokes 120 Part 3: Managing Contacts, Dates, Tasks, and More 123 Chapter 7: Your Little Black Book: Creating Contacts Lists 125 Putting in Your Contacts: Names, Numbers, and Other Stuff 126 The quick-and-dirty way to enter contacts 126 The slow, complete way to enter contacts 126 Viewing Your Contacts 132 Sorting a view 133 Rearranging views 134 Using grouped views 134 Flagging Your Friends 136 Using Contact Information 138 Searching for contacts 138 Finding a contact from any Outlook module 141 Forwarding a business card 141 Gathering People Into Groups 143 Creating a Contact group 143 Editing a Contact group 145 Using a Contact group 145 Adding pictures to contacts 145 Chapter 8: Unleashing the Calendar’s Power 147 Getting Around the Outlook Calendar 147 Meetings Galore: Scheduling Appointments 150 The quick-and-dirty way to enter an appointment 150 The complete way to enter an appointment 151 Not this time: Changing dates 153 Not ever: Breaking dates 155 We’ve got to keep seeing each other: Recurring dates 156 Getting a Good View of Your Calendar 158 Printing Your Appointments 159 Adding Holidays 161 Handling Multiple Calendars 162 Creating multiple calendars 162 Managing multiple calendars 163 Chapter 9: Task Mastery: Discovering All the Bells and Whistles 165 Entering New Tasks in the Tasks Module 166 The quick-and-dirty way to enter a task 166 The regular way to enter a task 166 Adding an Internet link to a task 169 Editing Your Tasks 169 The quick-and-dirty way to change a task 169 The regular way to change a task 170 Deleting a task 172 Managing Recurring Tasks 173 Creating a regenerating task 174 Skipping a recurring task once 175 Marking Tasks as Complete 176 Marking it off 176 Picking a color for completed or overdue tasks 177 Viewing Your Tasks 178 Frequenting the To-Do Bar 180 Adding a new item to the To-Do bar 180 Tasks in the Calendar 181 Chapter 10: Seeing It Your Way: Customizing Outlook 183 Customizing the Quick Access Toolbar 184 Customizing the Ribbon 185 Enjoying the Views 186 Table/List view 187 Card view 188 Calendar views 188 Playing with Columns in Table/List Views 189 Adding a column 189 Moving a column 190 Widening or narrowing a column 191 Removing a column 192 Sorting Items 192 Sorting from Table view 193 Sorting from the Sort dialog box 193 Grouping Items 194 Viewing grouped items 194 Viewing headings only 195 Saving Custom Views 195 Using Categories 196 Assigning a category 196 Renaming a category 197 Changing a category color 198 Assigning a category shortcut key 198 Part 4: Beyond the Basics: Tips and Tricks You Won’t Want to Miss 201 Chapter 11: Social Media Magic with Outlook RSS 203 Brushing Up on Social Media Basics 204 Sending an SOS for RSS 204 Feeling like a social butterfly 205 Subscribing to an RSS Feed via Internet Explorer 207 Setting Up an RSS Feed in Outlook 208 Reading Feeds 211 Chapter 12: Managing Multiple Email Accounts 213 Choosing an Email Provider 213 Buying Your Own Domain Name 215 Setting Up Email Accounts in Outlook 216 Understanding POP3 vs IMAP 216 Collecting the needed information for setup 217 Setting up an account using automatic settings 218 Setting up an account using manual settings 220 Modifying Mail Account Settings 222 Changing the Mail Server 223 Sending Messages from Different Accounts 224 Chapter 13: Merging Mail From Outlook to Microsoft Word 227 Conjuring Mailing Label Magic 228 Urging to merge 228 Making and using a merge template 232 Mastering Form Letter Formalities 233 Merging From Selected Contacts 234 You’ll Still Have to Lick It: Printing Envelopes 234 Merging to Email 235 Part 5: Outlook At Work 237 Chapter 14: Big-Time Collaboration with Outlook 239 Collaborating with Outlook’s Help 240 Organizing a meeting 240 Responding to a meeting request 243 Checking responses to your meeting request 244 Taking a vote 245 Tallying votes 247 Assigning tasks 247 Sending a status report 248 Collaborating with Outlook and Exchange 249 Giving delegate permissions 250 Opening someone else’s folder 251 Viewing Two Calendars Side by Side 252 Setting access permissions 252 Viewing two accounts 254 Managing Your Out of Office Message 256 Managing Your Address Books 257 Scheduling a Skype Meeting 259 Setting up a Skype meeting 259 Joining a Skype meeting 260 Chapter 15: Outlook for the iPad and Android Phones 261 Understanding the Mobile Difference 262 Accessing Mobile Email 263 Reading email 263 Replying to email 264 Composing email 265 Archiving, scheduling, and deleting email messages 267 Deleting messages 269 Managing groups of messages 269 Using Your Mobile Calendar 270 Navigating the mobile calendar 270 Creating a new appointment 271 Chapter 16: Telecommuting with Outlook.com and the Outlook Web App 273 Signing In to Outlook.com 274 Exploring the Outlook.com Interface 274 Getting Caught Up on Web Email Basics 276 Reading messages 276 Sending a message 277 Setting message importance 278 Flagging messages 278 Organizing Contacts 279 Viewing your contacts 279 Adding contacts 279 Using Your Calendar 281 Viewing your calendar 281 Entering an appointment 282 Moving an appointment 284 Exploring Your Options 285 Automated vacation replies/out of office message 286 Creating a signature 287 Understanding the Outlook Web App 288 Knowing when it’s handy 289 Signing in and out 289 Part 6: The Part of Tens 291 Chapter 17: Ten Shortcuts Worth Taking 293 Using the New Items Tool 293 Sending a File to an Email Recipient 294 Sending a File From a Microsoft Office Application 295 Turning a Message Into a Meeting 296 Finding Something 296 Undoing Your Mistakes 296 Using the Go to Date Dialog Box 296 Adding Items to List Views 297 Sending Repeat Messages 297 Resending a Message 298 Chapter 18: Ten Accessories for Outlook 299 Smartphones 299 A Tablet Computer 300 For Dummies E-Learning 300 Microsoft Office 301 A Business-Card Scanner 301 Online Backup 301 Skype 301 Microsoft SharePoint 302 Microsoft Exchange 302 OneDrive 302 Chapter 19: Ten Things You Can’t Do with Outlook 303 Create a Unified Inbox 304 Insert a Phone Number Into Your Calendar 304 Open a Message From the Reading Pane 304 Perform Two-Sided Printing 305 Search and Replace Area Codes 305 Print a List of Meeting Attendees 305 Enlarge the Type in the Calendar Location Box 305 Create Contact Records for All Recipients of an Email 306 Track Time Zones for Meetings 306 Back Up Outlook Data Easily 306 Ten More Things Outlook Can’t Do for You 307 Chapter 20: Ten Things You Can Do After You’re Comfy 309 Take Notes 310 Customize the Quick Access Toolbar 310 Wise Up Your Messages with Smart Art 311 Translate Your Email Messages 312 Add Charts for Impact 312 Use Symbols in Email 313 Open Multiple Calendars 313 Superimpose Calendars 313 Select Dates as a Group 314 Pin a Contact Card 314 Index 315

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Book SynopsisLearn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist the hottest job in America. Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, expTable of ContentsPreface xi About the Authors xv Acknowledgements xvii Chapter 1 Introduction to Data Science 1 1.1 Why Data Science? 1 1.2 What is Data Science? 1 1.3 The Data Science Methodology 2 1.4 Data Science Tasks 5 1.4.1 Description 6 1.4.2 Estimation 6 1.4.3 Classification 6 1.4.4 Clustering 7 1.4.5 Prediction 7 1.4.6 Association 7 Exercises 8 Chapter 2 The Basics of Python and R 9 2.1 Downloading Python 9 2.2 Basics of Coding in Python 9 2.2.1 Using Comments in Python 9 2.2.2 Executing Commands in Python 10 2.2.3 Importing Packages in Python 11 2.2.4 Getting Data into Python 12 2.2.5 Saving Output in Python 13 2.2.6 Accessing Records and Variables in Python 14 2.2.7 Setting Up Graphics in Python 15 2.3 Downloading R and RStudio 17 2.4 Basics of Coding in R 19 2.4.1 Using Comments in R 19 2.4.2 Executing Commands in R 20 2.4.3 Importing Packages in R 20 2.4.4 Getting Data into R 21 2.4.5 Saving Output in R 23 2.4.6 Accessing Records and Variables in R 24 References 26 Exercises 26 Chapter 3 Data Preparation 29 3.1 The Bank Marketing Data Set 29 3.2 The Problem Understanding Phase 29 3.2.1 Clearly Enunciate the Project Objectives 29 3.2.2 Translate These Objectives into a Data Science Problem 30 3.3 Data Preparation Phase 31 3.4 Adding an Index Field 31 3.4.1 How to Add an Index Field Using Python 31 3.4.2 How to Add an Index Field Using R 32 3.5 Changing Misleading Field Values 33 3.5.1 How to Change Misleading Field Values Using Python 34 3.5.2 How to Change Misleading Field Values Using R 34 3.6 Reexpression of Categorical Data as Numeric 36 3.6.1 How to Reexpress Categorical Field Values Using Python 36 3.6.2 How to Reexpress Categorical Field Values Using R 38 3.7 Standardizing the Numeric Fields 39 3.7.1 How to Standardize Numeric Fields Using Python 40 3.7.2 How to Standardize Numeric Fields Using R 40 3.8 Identifying Outliers 40 3.8.1 How to Identify Outliers Using Python 41 3.8.2 How to Identify Outliers Using R 42 References 43 Exercises 44 Chapter 4 Exploratory Data Analysis 47 4.1 EDA Versus HT 47 4.2 Bar Graphs with Response Overlay 47 4.2.1 How to Construct a Bar Graph with Overlay Using Python 49 4.2.2 How to Construct a Bar Graph with Overlay Using R 50 4.3 Contingency Tables 51 4.3.1 How to Construct Contingency Tables Using Python 52 4.3.2 How to Construct Contingency Tables Using R 53 4.4 Histograms with Response Overlay 53 4.4.1 How to Construct Histograms with Overlay Using Python 55 4.4.2 How to Construct Histograms with Overlay Using R 58 4.5 Binning Based on Predictive Value 58 4.5.1 How to Perform Binning Based on Predictive Value Using Python 59 4.5.2 How to Perform Binning Based on Predictive Value Using R 62 References 63 Exercises 63 Chapter 5 Preparing to Model the Data 69 5.1 The Story So Far 69 5.2 Partitioning the Data 69 5.2.1 How to Partition the Data in Python 70 5.2.2 How to Partition the Data in R 71 5.3 Validating your Partition 72 5.4 Balancing the Training Data Set 73 5.4.1 How to Balance the Training Data Set in Python 74 5.4.2 How to Balance the Training Data Set in R 75 5.5 Establishing Baseline Model Performance 77 References 78 Exercises 78 Chapter 6 Decision Trees 81 6.1 Introduction to Decision Trees 81 6.2 Classification and Regression Trees 83 6.2.1 How to Build CART Decision Trees Using Python 84 6.2.2 How to Build CART Decision Trees Using R 86 6.3 The C5.0 Algorithm for Building Decision Trees 88 6.3.1 How to Build C5.0 Decision Trees Using Python 89 6.3.2 How to Build C5.0 Decision Trees Using R 90 6.4 Random Forests 91 6.4.1 How to Build Random Forests in Python 92 6.4.2 How to Build Random Forests in R 92 References 93 Exercises 93 Chapter 7 Model Evaluation 97 7.1 Introduction to Model Evaluation 97 7.2 Classification Evaluation Measures 97 7.3 Sensitivity and Specificity 99 7.4 Precision, Recall, and Fβ Scores 99 7.5 Method for Model Evaluation 100 7.6 An Application of Model Evaluation 100 7.6.1 How to Perform Model Evaluation Using R 103 7.7 Accounting for Unequal Error Costs 104 7.7.1 Accounting for Unequal Error Costs Using R 105 7.8 Comparing Models with and without Unequal Error Costs 106 7.9 Data‐Driven Error Costs 107 Exercises 109 Chapter 8 Naïve Bayes Classification 113 8.1 Introduction to Naive Bayes 113 8.2 Bayes Theorem 113 8.3 Maximum a Posteriori Hypothesis 114 8.4 Class Conditional Independence 114 8.5 Application of Naive Bayes Classification 115 8.5.1 Naive Bayes in Python 121 8.5.2 Naive Bayes in R 123 References 125 Exercises 126 Chapter 9 Neural Networks 129 9.1 Introduction to Neural Networks 129 9.2 The Neural Network Structure 129 9.3 Connection Weights and the Combination Function 131 9.4 The Sigmoid Activation Function 133 9.5 Backpropagation 134 9.6 An Application of a Neural Network Model 134 9.7 Interpreting the Weights in a Neural Network Model 136 9.8 How to Use Neural Networks in R 137 References 138 Exercises 138 Chapter 10 Clustering 141 10.1 What is Clustering? 141 10.2 Introduction to the K‐Means Clustering Algorithm 142 10.3 An Application of K‐Means Clustering 143 10.4 Cluster Validation 144 10.5 How to Perform K‐Means Clustering Using Python 145 10.6 How to Perform K‐Means Clustering Using R 147 Exercises 149 Chapter 11 Regression Modeling 151 11.1 The Estimation Task 151 11.2 Descriptive Regression Modeling 151 11.3 An Application of Multiple Regression Modeling 152 11.4 How to Perform Multiple Regression Modeling Using Python 154 11.5 How to Perform Multiple Regression Modeling Using R 156 11.6 Model Evaluation for Estimation 157 11.6.1 How to Perform Estimation Model Evaluation Using Python 159 11.6.2 How to Perform Estimation Model Evaluation Using R 160 11.7 Stepwise Regression 161 11.7.1 How to Perform Stepwise Regression Using R 162 11.8 Baseline Models for Regression 162 References 163 Exercises 164 Chapter 12 Dimension Reduction 167 12.1 The Need for Dimension Reduction 167 12.2 Multicollinearity 168 12.3 Identifying Multicollinearity Using Variance Inflation Factors 171 12.3.1 How to Identify Multicollinearity Using Python 172 12.3.2 How to Identify Multicollinearity in R 173 12.4 Principal Components Analysis 175 12.5 An Application of Principal Components Analysis 175 12.6 How Many Components Should We Extract? 176 12.6.1 The Eigenvalue Criterion 176 12.6.2 The Proportion of Variance Explained Criterion 177 12.7 Performing Pca with K = 4 178 12.8 Validation of the Principal Components 178 12.9 How to Perform Principal Components Analysis Using Python 179 12.10 How to Perform Principal Components Analysis Using R 181 12.11 When is Multicollinearity Not a Problem? 183 References 184 Exercises 184 Chapter 13 Generalized Linear Models 187 13.1 An Overview of General Linear Models 187 13.2 Linear Regression as a General Linear Model 188 13.3 Logistic Regression as a General Linear Model 188 13.4 An Application of Logistic Regression Modeling 189 13.4.1 How to Perform Logistic Regression Using Python 190 13.4.2 How to Perform Logistic Regression Using R 191 13.5 Poisson Regression 192 13.6 An Application of Poisson Regression Modeling 192 13.6.1 How to Perform Poisson Regression Using Python 193 13.6.2 How to Perform Poisson Regression Using R 194 Reference 195 Exercises 195 Chapter 14 Association Rules 199 14.1 Introduction to Association Rules 199 14.2 A Simple Example of Association Rule Mining 200 14.3 Support, Confidence, and Lift 200 14.4 Mining Association Rules 202 14.4.1 How to Mine Association Rules Using R 203 14.5 Confirming Our Metrics 207 14.6 The Confidence Difference Criterion 208 14.6.1 How to Apply the Confidence Difference Criterion Using R 208 14.7 The Confidence Quotient Criterion 209 14.7.1 How to Apply the Confidence Quotient Criterion Using R 210 References 211 Exercises 211 Appendix Data Summarization and Visualization 215 Part 1: Summarization 1: Building Blocks of Data Analysis 215 Part 2: Visualization: Graphs and Tables for Summarizing and Organizing Data 217 Part 3: Summarization 2: Measures of Center, Variability, and Position 222 Part 4: Summarization and Visualization of Bivariate Elationships 225 Index 231

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Book SynopsisCOMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explTable of ContentsPreface xiii 1 Bioinfomatics as a Tool in Drug Designing 1Rene Barbie Browne, Shiny C. Thomas and Jayanti Datta Roy 1.1 Introduction 1 1.2 Steps Involved in Drug Designing 3 1.2.1 Identification of the Target Protein/Enzyme 5 1.2.2 Detection of Molecular Site (Active Site) in the Target Protein 6 1.2.3 Molecular Modeling 6 1.2.4 Virtual Screening 9 1.2.5 Molecular Docking 10 1.2.6 QSAR (Quantitative Structure-Activity Relationship) 12 1.2.7 Pharmacophore Modeling 14 1.2.8 Solubility of Molecule 14 1.2.9 Molecular Dynamic Simulation 14 1.2.10 ADME Prediction 15 1.3 Various Softwares Used in the Steps of Drug Designing 16 1.4 Applications 18 1.5 Conclusion 20 References 20 2 New Strategies in Drug Discovery 25Vivek Chavda, Yogita Thalkari and Swati Marwadi 2.1 Introduction 26 2.2 Road Toward Advancement 27 2.3 Methodology 30 2.3.1 Target Identification 30 2.3.2 Docking-Based Virtual Screening 32 2.3.3 Conformation Sampling 33 2.3.4 Scoring Function 34 2.3.5 Molecular Similarity Methods 35 2.3.6 Virtual Library Construction 37 2.3.7 Sequence-Based Drug Design 37 2.4 Role of OMICS Technology 38 2.5 High-Throughput Screening and Its Tools 40 2.6 Chemoinformatic 44 2.6.1 Exploratory Data Analysis 45 2.6.2 Example Discovery 46 2.6.3 Pattern Explanation 46 2.6.4 New Technologies 46 2.7 Concluding Remarks and Future Prospects 46 References 48 3 Role of Bioinformatics in Early Drug Discovery: An Overview and Perspective 49Shasank S. Swain and Tahziba Hussain 3.1 Introduction 50 3.2 Bioinformatics and Drug Discovery 51 3.2.1 Structure-Based Drug Design (SBDD) 52 3.2.2 Ligand-Based Drug Design (LBDD) 53 3.3 Bioinformatics Tools in Early Drug Discovery 54 3.3.1 Possible Biological Activity Prediction Tools 55 3.3.2 Possible Physicochemical and Drug-Likeness Properties Verification Tools 58 3.3.3 Possible Toxicity and ADME/T Profile Prediction Tools 60 3.4 Future Directions With Bioinformatics Tool 61 3.5 Conclusion 63 Acknowledgements 64 References 64 4 Role of Data Mining in Bioinformatics 69Vivek P. Chavda, Amit Sorathiya, Disha Valu and Swati Marwadi 4.1 Introduction 70 4.2 Data Mining Methods/Techniques 71 4.2.1 Classification 71 4.2.1.1 Statistical Techniques 71 4.2.1.2 Clustering Technique 73 4.2.1.3 Visualization 74 4.2.1.4 Induction Decision Tree Technique 74 4.2.1.5 Neural Network 75 4.2.1.6 Association Rule Technique 75 4.2.1.7 Classification 75 4.3 DNA Data Analysis 77 4.4 RNA Data Analysis 79 4.5 Protein Data Analysis 79 4.6 Biomedical Data Analysis 80 4.7 Conclusion and Future Prospects 81 References 81 5 In Silico Protein Design and Virtual Screening 85Vivek P. Chavda, Zeel Patel, Yashti Parmar and Disha Chavda 5.1 Introduction 86 5.2 Virtual Screening Process 88 5.2.1 Before Virtual Screening 90 5.2.2 General Process of Virtual Screening 90 5.2.2.1 Step 1 (The Establishment of the Receptor Model) 91 5.2.2.2 Step 2 (The Generation of Small-Molecule Libraries) 92 5.2.2.3 Step 3 (Molecular Docking) 92 5.2.2.4 Step 4 (Selection of Lead Protein Compounds) 94 5.3 Machine Learning and Scoring Functions 94 5.4 Conclusion and Future Prospects 95 References 96 6 New Bioinformatics Platform-Based Approach for Drug Design 101Vivek Chavda, Soham Sheta, Divyesh Changani and Disha Chavda 6.1 Introduction 102 6.2 Platform-Based Approach and Regulatory Perspective 104 6.3 Bioinformatics Tools and Computer-Aided Drug Design 107 6.4 Target Identification 109 6.5 Target Validation 110 6.6 Lead Identification and Optimization 111 6.7 High-Throughput Methods (HTM) 112 6.8 Conclusion and Future Prospects 114 References 115 7 Bioinformatics and Its Application Areas 121Ragini Bhardwaj, Mohit Sharma and Nikhil Agrawal 7.1 Introduction 121 7.2 Review of Bioinformatics 124 7.3 Bioinformatics Applications in Different Areas 126 7.3.1 Microbial Genome Application 126 7.3.2 Molecular Medicine 129 7.3.3 Agriculture 130 7.4 Conclusion 131 References 131 8 DNA Microarray Analysis: From Affymetrix CEL Files to Comparative Gene Expression 139Sandeep Kumar, Shruti Shandilya, Suman Kapila, Mohit Sharma and Nikhil Agrawal 8.1 Introduction 140 8.2 Data Processing 140 8.2.1 Installation of Workflow 140 8.2.2 Importing the Raw Data for Processing 141 8.2.3 Retrieving Sample Annotation of the Data 142 8.2.4 Quality Control 143 8.2.4.1 Boxplot 144 8.2.4.2 Density Histogram 145 8.2.4.3 MA Plot 145 8.2.4.4 NUSE Plot 145 8.2.4.5 RLE Plot 145 8.2.4.6 RNA Degradation Plot 145 8.2.4.7 QCstat 148 8.3 Normalization of Microarray Data Using the RMA Method 148 8.3.1 Background Correction 148 8.3.2 Normalization 149 8.3.3 Summarization 149 8.4 Statistical Analysis for Differential Gene Expression 151 8.5 Conclusion 153 References 153 9 Machine Learning in Bioinformatics 155Rahul Yadav, Mohit Sharma and Nikhil Agrawal 9.1 Introduction and Background 156 9.1.1 Bioinformatics 158 9.1.2 Text Mining 159 9.1.3 IoT Devices 159 9.2 Machine Learning Applications in Bioinformatics 159 9.3 Machine Learning Approaches 161 9.4 Conclusion and Closing Remarks 162 References 162 10 DNA-RNA Barcoding and Gene Sequencing 165Gifty Sawhney, Mohit Sharma and Nikhil Agrawal 10.1 Introduction 166 10.2 RNA 169 10.3 DNA Barcoding 172 10.3.1 Introduction 172 10.3.2 DNA Barcoding and Molecular Phylogeny 177 10.3.3 Ribosomal DNA (rDNA) of the Nuclear Genome (nuDNA)—ITS 178 10.3.4 Chloroplast DNA 180 10.3.5 Mitochondrial DNA 181 10.3.6 Molecular Phylogenetic Analysis 181 10.3.7 Metabarcoding 189 10.3.8 Materials for DNA Barcoding 190 10.4 Main Reasons of DNA Barcoding 191 10.5 Limitations/Restrictions of DNA Barcoding 192 10.6 RNA Barcoding 192 10.6.1 Overview of the Method 193 10.7 Methodology 194 10.7.1 Materials Required 195 10.7.2 Barcoded RNA Sequencing High-Level Mapping of Single-Neuron Projections 196 10.7.3 Using RNA to Trace Neurons 196 10.7.4 A Life Conservation Barcoder 198 10.7.5 Gene Sequencing 199 10.7.5.1 DNA Sequencing Methods 200 10.7.5.2 First-Generation Sequencing Techniques 204 10.7.5.3 Maxam’s and Gilbert’s Chemical Method 204 10.7.5.4 Sanger Sequencing 205 10.7.5.5 Automation in DNA Sequencing 206 10.7.5.6 Use of Fluorescent-Marked Primers and ddNTPs 206 10.7.5.7 Dye Terminator Sequencing 207 10.7.5.8 Using Capillary Electrophoresis 207 10.7.6 Developments and High-Throughput Methods in DNA Sequencing 208 10.7.7 Pyrosequencing Method 209 10.7.8 The Genome Sequencer 454 FLX System 210 10.7.9 Illumina/Solexa Genome Analyzer 210 10.7.10 Transition Sequencing Techniques 211 10.7.11 Ion-Torrent’s Semiconductor Sequencing 211 10.7.12 Helico’s Genetic Analysis Platform 211 10.7.13 Third-Generation Sequencing Techniques 212 10.8 Conclusion 212 Abbreviations 213 Acknowledgement 214 References 214 11 Bioinformatics in Cancer Detection 229Mohit Sharma, Umme Abiha, Parul Chugh, Balakumar Chandrasekaran and Nikhil Agrawal 11.1 Introduction 230 11.2 The Era of Bioinformatics in Cancer 230 11.3 Aid in Cancer Research via NCI 232 11.4 Application of Big Data in Developing Precision Medicine 233 11.5 Historical Perspective and Development 235 11.6 Bioinformatics-Based Approaches in the Study of Cancer 237 11.6.1 SLAMS 237 11.6.2 Module Maps 238 11.6.3 COPA 239 11.7 Conclusion and Future Challenges 240 References 240 12 Genomic Association of Polycystic Ovarian Syndrome: Single-Nucleotide Polymorphisms and Their Role in Disease Progression 245Gowtham Kumar Subbaraj and Sindhu Varghese 12.1 Introduction 246 12.2 FSHR Gene 252 12.3 IL-10 Gene 252 12.4 IRS-1 Gene 253 12.5 PCR Primers Used 254 12.6 Statistical Analysis 255 12.7 Conclusion 258 References 259 13 An Insight of Protein Structure Predictions Using Homology Modeling 265S. Muthumanickam, P. Boomi, R. Subashkumar, S. Palanisamy, A. Sudha, K. Anand, C. Balakumar, M. Saravanan, G. Poorani, Yao Wang, K. Vijayakumar and M. Syed Ali 13.1 Introduction 266 13.2 Homology Modeling Approach 268 13.2.1 Strategies for Homology Modeling 269 13.2.2 Procedure 269 13.3 Steps Involved in Homology Modeling 270 13.3.1 Template Identification 270 13.3.2 Sequence Alignment 271 13.3.3 Backbone Generation 271 13.3.4 Loop Modeling 271 13.3.5 Side Chain Modeling 272 13.3.6 Model Optimization 272 13.3.6.1 Model Validation 272 13.4 Tools Used for Homology Modeling 273 13.4.1 Robetta 273 13.4.2 M4T (Multiple Templates) 273 13.4.3 I-Tasser (Iterative Implementation of the Threading Assembly Refinement) 273 13.4.4 ModBase 274 13.4.5 Swiss Model 274 13.4.6 PHYRE2 (Protein Homology/Analogy Recognition Engine 2) 274 13.4.7 Modeller 274 13.4.8 Conclusion 275 Acknowledgement 275 References 275 14 Basic Concepts in Proteomics and Applications 279Jesudass Joseph Sahayarayan, A.S. Enogochitra and Murugesan Chandrasekaran 14.1 Introduction 280 14.2 Challenges on Proteomics 281 14.3 Proteomics Based on Gel 283 14.4 Non-Gel–Based Electrophoresis Method 284 14.5 Chromatography 284 14.6 Proteomics Based on Peptides 285 14.7 Stable Isotopic Labeling 286 14.8 Data Mining and Informatics 287 14.9 Applications of Proteomics 289 14.10 Future Scope 290 14.11 Conclusion 291 References 292 15 Prospects of Covalent Approaches in Drug Discovery: An Overview 295Balajee Ramachandran, Saravanan Muthupandian and Jeyakanthan Jeyaraman 15.1 Introduction 296 15.2 Covalent Inhibitors Against the Biological Target 297 15.3 Application of Physical Chemistry Concepts in Drug Designing 299 15.4 Docking Methodologies—An Overview 301 15.5 Importance of Covalent Targets 302 15.6 Recent Framework on the Existing Docking Protocols 303 15.7 SN2 Reactions in the Computational Approaches 304 15.8 Other Crucial Factors to Consider in the Covalent Docking 305 15.8.1 Role of Ionizable Residues 305 15.8.2 Charge Regulation 306 15.8.3 Charge-Charge Interactions 306 15.9 QM/MM Approaches 309 15.10 Conclusion and Remarks 310 Acknowledgements 311 References 311 Index 321

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Book SynopsisHANDBOOK ON INTERACTIVE STORYTELLING Discover the latest research on crafting compelling narratives in interactive entertainment Electronic games are no longer considered mere fluff alongside the real forms of entertainment, like film, music, and television. Instead, many games have evolved into an art form in their own right, including carefully constructed stories and engaging narratives enjoyed by millions of people around the world. In Handbook on Interactive Storytelling, readers will find a comprehensive discussion of the latest research covering the creation of interactive narratives that allow users to experience a dramatically compelling story that responds directly to their actions and choices. Systematically organized, with extensive bibliographies and academic exercises included in each chapter, the book offers readers new perspectives on existing research and fresh avenues ripe for further study. In-depth case studies explore the challenges involved in crafting a narrativeTable of ContentsList of Figures ix List of Tables xiii Preface xv Acknowledgements xvii 1 Introduction 1 1.1 Interactive Storytelling 3 1.1.1 Partakers 5 1.1.2 Narrative, Plot, and Story 6 1.1.3 Interaction 8 1.2 History of Interactive Storytelling 10 1.2.1 Theatre 11 1.2.2 Multicursal Literature 12 1.3 Role-playing Games 13 1.3.1 Hypertext Fiction 14 1.3.2 Webisodics 14 1.3.3 Interactive Cinema 15 1.3.4 Television 17 1.3.5 Games 17 1.3.5.1 Interactive Fiction 18 1.3.5.2 Digital Games 19 1.4 Summary 21 Exercises 22 2 Background 25 2.1 Analysis of Storytelling 25 2.1.1 Aristotle's Poetics 25 2.1.1.1 Elements of Tragedy 26 2.1.1.2 Narrative Forms 27 2.1.1.3 Dramatic Arc 27 2.1.2 Visual Storytelling 29 2.1.2.1 Semiotics 30 2.1.2.2 Work of Art 31 2.1.2.3 Video Games as Visual Art 31 2.1.3 Structuralism 33 2.1.3.1 Propp's Morphology of Russian Folktales 33 2.1.3.2 Colby's Grammar of Alaska Natives' Folktales 35 2.1.3.3 Story Grammars 37 2.1.4 Joseph Campbell and the Hero's Journey 41 2.1.5 Kernels and Satellites 42 2.2 Research on Interactive Storytelling 44 2.2.1 Brenda Laurel and Interactive Drama 46 2.2.2 Janet Murray and the Cyberbard 47 2.2.3 Models for Interactive Storytelling 48 2.2.4 Narrative Paradox and Other Research Challenges 49 2.2.4.1 Platform 52 2.2.4.2 Designer 52 2.2.4.3 Interactors 53 2.2.4.4 Storyworld 53 2.2.4.5 Terminology 53 2.3 Summary 54 Exercises 54 3 Platform 57 3.1 Software Development 58 3.1.1 Model-View-Controller 59 3.1.2 Interactor's Interface 61 3.1.3 Designer's Interface 63 3.1.4 Modding 63 3.2 Solving the Narrative Paradox 65 3.2.1 Author-centric Approach 66 3.2.2 Character-centric Approach 68 3.2.3 Hybrid Approach 69 3.3 Implementations 71 3.3.1 Pioneering Storytelling Systems 71 3.3.2 Crawford's IDS Systems 73 3.3.3 Stern's and Mateas's Façade 74 3.3.4 Experimental Systems 75 3.3.5 Other Systems 76 3.4 Summary 77 Exercises 78 4 Designer 81 4.1 Storyworld Types 82 4.1.1 Linear Storyworlds 83 4.1.2 Branching Storyworlds 84 4.1.3 Open Storyworlds 87 4.2 Design Process and Tools 89 4.2.1 Concepting the Storyworld 90 4.2.1.1 Character Design 92 4.2.1.2 Plot Composition 93 4.2.1.3 Adapting Material from Other Media 94 4.2.1.4 Transmedia Design 95 4.2.1.5 Adams' Template for Requirements Specifications 96 4.2.2 Iterative Design Process 97 4.2.3 Evaluating Interactive Stories 98 4.3 Relationship with the Interactor 100 4.3.1 Focalization 100 4.3.2 Story as Message 101 4.4 Summary 103 Exercises 103 5 Interactor 107 5.1 Experiencing an Interactive Story 108 5.1.1 Onboarding -- From Amnesia to Awareness 109 5.1.2 Supporting the Journey 110 5.1.3 Is There an End? 111 5.1.4 Re-experiencing an Interactive Story 112 5.2 Agency 113 5.2.1 Theoretical and Perceived Agency 114 5.2.2 Local and Global Agency 115 5.2.3 Invisible Agency 115 5.2.4 Limited Agency and No Agency 116 5.2.5 Illusion of Agency 116 5.3 Immersion 117 5.3.1 Immersion Types 117 5.3.2 Models for Immersion 118 5.3.3 Flow 119 5.4 Transformation 120 5.5 Interactor Types 121 5.5.1 Top-down Analysis 122 5.5.2 Bottom-up Analysis 124 5.5.3 Discussion 125 5.6 Summary 126 Exercises 126 6 Storyworld 131 6.1 Characters 132 6.1.1 Perception 133 6.1.2 Memory 133 6.1.3 Personality 135 6.1.4 Decision-making 138 6.2 Elemental Building Blocks 141 6.2.1 Props 141 6.2.1.1 Schrödinger's Gun 142 6.2.1.2 Internal Economy 143 6.2.2 Scenes 144 6.2.3 Events 144 6.3 Representation 145 6.3.1 Visual 147 6.3.2 Audio 148 6.3.2.1 Diegetic 148 6.3.2.2 Non-diegetic 149 6.4 Summary 150 Exercises 151 7 Perspectives 153 7.1 Multiple Interactors 153 7.1.1 Multiple Focus 153 7.1.2 Persistence 154 7.2 Extended Reality 155 7.2.1 Visual Considerations 155 7.2.2 Developing a Language of Expression 157 7.3 Streaming Media 157 7.3.1 Problems 157 7.3.2 Solution Proposals 159 7.4 Other Technological Prospects 160 7.4.1 Voice Recognition 160 7.4.2 Locating 160 7.4.3 Artificial Intelligence 161 7.5 Ethical Considerations 162 7.5.1 Platform 163 7.5.2 Designer 163 7.5.3 Interactor 164 7.5.4 Storyworld 164 7.6 Summary 165 Exercises 165 Bibliography 169 Ludography 187 Index 191

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Book SynopsisOrganizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalaTable of ContentsForeword for Smarter Data Science xix Epigraph xxi Preamble xxiii Chapter 1 Climbing the AI Ladder 1 Readying Data for AI 2 Technology Focus Areas 3 Taking the Ladder Rung by Rung 4 Constantly Adapt to Retain Organizational Relevance 8 Data-Based Reasoning is Part and Parcel in the Modern Business 10 Toward the AI-Centric Organization 14 Summary 16 Chapter 2 Framing Part I: Considerations for Organizations Using AI 17 Data-Driven Decision-Making 18 Using Interrogatives to Gain Insight 19 The Trust Matrix 20 The Importance of Metrics and Human Insight 22 Democratizing Data and Data Science 23 Aye, a Prerequisite: Organizing Data Must Be a Forethought 26 Preventing Design Pitfalls 27 Facilitating the Winds of Change: How Organized Data Facilitates Reaction Time 29 Quae Quaestio (Question Everything) 30 Summary 32 Chapter 3 Framing Part II: Considerations for Working with Data and AI 35 Personalizing the Data Experience for Every User 36 Context Counts: Choosing the Right Way to Display Data 38 Ethnography: Improving Understanding Through Specialized Data 42 Data Governance and Data Quality 43 The Value of Decomposing Data 43 Providing Structure Through Data Governance 43 Curating Data for Training 45 Additional Considerations for Creating Value 45 Ontologies: A Means for Encapsulating Knowledge 46 Fairness, Trust, and Transparency in AI Outcomes 49 Accessible, Accurate, Curated, and Organized 52 Summary 54 Chapter 4 A Look Back on Analytics: More Than One Hammer 57 Been Here Before: Reviewing the Enterprise Data Warehouse 57 Drawbacks of the Traditional Data Warehouse 64 Paradigm Shift 68 Modern Analytical Environments: The Data Lake 69 By Contrast 71 Indigenous Data 72 Attributes of Difference 73 Elements of the Data Lake 75 The New Normal: Big Data is Now Normal Data 77 Liberation from the Rigidity of a Single Data Model 78 Streaming Data 78 Suitable Tools for the Task 78 Easier Accessibility 79 Reducing Costs 79 Scalability 79 Data Management and Data Governance for AI 80 Schema-on-Read vs. Schema-on-Write 81 Summary 84 Chapter 5 A Look Forward on Analytics: Not Everything Can Be a Nail 87 A Need for Organization 87 The Staging Zone 90 The Raw Zone 91 The Discovery and Exploration Zone 92 The Aligned Zone 93 The Harmonized Zone 98 The Curated Zone 100 Data Topologies 100 Zone Map 103 Data Pipelines 104 Data Topography 105 Expanding, Adding, Moving, and Removing Zones 107 Enabling the Zones 108 Ingestion 108 Data Governance 111 Data Storage and Retention 112 Data Processing 114 Data Access 116 Management and Monitoring 117 Metadata 118 Summary 119 Chapter 6 Addressing Operational Disciplines on the AI Ladder 121 A Passage of Time 122 Create 128 Stability 128 Barriers 129 Complexity 129 Execute 130 Ingestion 131 Visibility 132 Compliance 132 Operate 133 Quality 134 Reliance 135 Reusability 135 The xOps Trifecta: DevOps/MLOps, DataOps, and AIOps 136 DevOps/MLOps 137 DataOps 139 AIOps 142 Summary 144 Chapter 7 Maximizing the Use of Your Data: Being Value Driven 147 Toward a Value Chain 148 Chaining Through Correlation 152 Enabling Action 154 Expanding the Means to Act 155 Curation 156 Data Governance 159 Integrated Data Management 162 Onboarding 163 Organizing 164 Cataloging 166 Metadata 167 Preparing 168 Provisioning 169 Multi-Tenancy 170 Summary 173 Chapter 8 Valuing Data with Statistical Analysis and Enabling Meaningful Access 175 Deriving Value: Managing Data as an Asset 175 An Inexact Science 180 Accessibility to Data: Not All Users are Equal 183 Providing Self-Service to Data 184 Access: The Importance of Adding Controls 186 Ranking Datasets Using a Bottom-Up Approach for Data Governance 187 How Various Industries Use Data and AI 188 Benefi ting from Statistics 189 Summary 198 Chapter 9 Constructing for the Long-Term 199 The Need to Change Habits: Avoiding Hard-Coding 200 Overloading 201 Locked In 202 Ownership and Decomposition 204 Design to Avoid Change 204 Extending the Value of Data Through AI 206 Polyglot Persistence 208 Benefi ting from Data Literacy 213 Understanding a Topic 215 Skillsets 216 It’s All Metadata 218 The Right Data, in the Right Context, with the Right Interface 219 Summary 221 Chapter 10 A Journey’s End: An IA for AI 223 Development Efforts for AI 224 Essential Elements: Cloud-Based Computing, Data, and Analytics 228 Intersections: Compute Capacity and Storage Capacity 234 Analytic Intensity 237 Interoperability Across the Elements 238 Data Pipeline Flight Paths: Preflight, Inflight, Postflight 242 Data Management for the Data Puddle, Data Pond, and Data Lake 243 Driving Action: Context, Content, and Decision-Makers 245 Keep It Simple 248 The Silo is Dead; Long Live the Silo 250 Taxonomy: Organizing Data Zones 252 Capabilities for an Open Platform 256 Summary 260 Appendix Glossary of Terms 263 Index 269

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Book SynopsisTable of ContentsList of Contributors xv List of Abbreviations xix 1 Big Data Analytics for the Internet of Things: An Overview 1Tausifa Jan Saleem and Mohammad Ahsan Chishti 2 Data, Analytics and Interoperability Between Systems (IoT) is Incongruous with the Economics of Technology: Evolution of Porous Pareto Partition (P3) 7Shoumen Palit Austin Datta, Tausifa Jan Saleem, Molood Barati, María Victoria López López, Marie-Laure Furgala, Diana C. Vanegas, Gérald Santucci, Pramod P. Khargonekar, and Eric S. McLamore 2.1 Context 8 2.2 Models in the Background 12 2.3 Problem Space: Are We Asking the Correct Questions? 14 2.4 Solutions Approach: The Elusive Quest to Build Bridges Between Data and Decisions 15 2.5 Avoid This Space: The Deception Space 17 2.6 Explore the Solution Space: Necessary to Ask Questions That May Not Have Answers, Yet 17 2.7 Solution Economy: Will We Ever Get There? 19 2.8 Is This Faux Naïveté in Its Purest Distillate? 21 2.9 Reality Check: Data Fusion 22 2.10 “Double A” Perspective of Data and Tools vs. The Hypothetical Porous Pareto (80/20) Partition 28 2.11 Conundrums 29 2.12 Stigma of Partition vs. Astigmatism of Vision 38 2.13 The Illusion of Data, Delusion of Big Data, and the Absence of Intelligence in AI 40 2.14 In Service of Society 50 2.15 Data Science in Service of Society: Knowledge and Performance from PEAS 52 2.16 Temporary Conclusion 60 Acknowledgements 63 References 63 3 Machine Learning Techniques for IoT Data Analytics 89Nailah Afshan and Ranjeet Kumar Rout 3.1 Introduction 89 3.2 Taxonomy of Machine Learning Techniques 94 3.2.1 Supervised ML Algorithm 95 3.2.1.1 Classification 96 3.2.1.2 Regression Analysis 98 3.2.1.3 Classification and Regression Tasks 99 3.2.2 Unsupervised Machine Learning Algorithms 103 3.2.2.1 Clustering 103 3.2.2.2 Feature Extraction 106 3.2.3 Conclusion 107 References 107 4 IoT Data Analytics Using Cloud Computing 115Anjum Sheikh, Sunil Kumar, and Asha Ambhaikar 4.1 Introduction 115 4.2 IoT Data Analytics 117 4.2.1 Process of IoT Analytics 117 4.2.2 Types of Analytics 118 4.3 Cloud Computing for IoT 118 4.3.1 Deployment Models for Cloud 120 4.3.1.1 Private Cloud 120 4.3.1.2 Public Cloud 120 4.3.1.3 Hybrid Cloud 121 4.3.1.4 Community Cloud 121 4.3.2 Service Models for Cloud Computing 122 4.3.2.1 Software as a Service (SaaS) 122 4.3.2.2 Platform as a Service (PaaS) 122 4.3.2.3 Infrastructure as a Service (IaaS) 122 4.3.3 Data Analytics on Cloud 123 4.4 Cloud-Based IoT Data Analytics Platform 123 4.4.1 Atos Codex 125 4.4.2 AWS IoT 125 4.4.3 IBM Watson IoT 126 4.4.4 Hitachi Vantara Pentaho, Lumada 127 4.4.5 Microsoft Azure IoT 128 4.4.6 Oracle IoT Cloud Services 129 4.5 Machine Learning for IoT Analytics in Cloud 132 4.5.1 ML Algorithms for Data Analytics 132 4.5.2 Types of Predictions Supported by ML and Cloud 136 4.6 Challenges for Analytics Using Cloud 137 4.7 Conclusion 139 References 139 5 Deep Learning Architectures for IoT Data Analytics 143Snowber Mushtaq and Omkar Singh 5.1 Introduction 143 5.1.1 Types of Learning Algorithms 146 5.1.1.1 Supervised Learning 146 5.1.1.2 Unsupervised Learning 146 5.1.1.3 Semi-Supervised Learning 146 5.1.1.4 Reinforcement Learning 146 5.1.2 Steps Involved in Solving a Problem 146 5.1.2.1 Basic Terminology 147 5.1.2.2 Training Process 147 5.1.3 Modeling in Data Science 147 5.1.3.1 Generative 148 5.1.3.2 Discriminative 148 5.1.4 Why DL and IoT? 148 5.2 DL Architectures 149 5.2.1 Restricted Boltzmann Machine 149 5.2.1.1 Training Boltzmann Machine 150 5.2.1.2 Applications of RBM 151 5.2.2 Deep Belief Networks (DBN) 151 5.2.2.1 Training DBN 152 5.2.2.2 Applications of DBN 153 5.2.3 Autoencoders 153 5.2.3.1 Training of AE 153 5.2.3.2 Applications of AE 154 5.2.4 Convolutional Neural Networks (CNN) 154 5.2.4.1 Layers of CNN 155 5.2.4.2 Activation Functions Used in CNN 156 5.2.4.3 Applications of CNN 158 5.2.5 Generative Adversarial Network (GANs) 158 5.2.5.1 Training of GANs 158 5.2.5.2 Variants of GANs 159 5.2.5.3 Applications of GANs 159 5.2.6 Recurrent Neural Networks (RNN) 159 5.2.6.1 Training of RNN 160 5.2.6.2 Applications of RNN 161 5.2.7 Long Short-Term Memory (LSTM) 161 5.2.7.1 Training of LSTM 161 5.2.7.2 Applications of LSTM 162 5.3 Conclusion 162 References 163 6 Adding Personal Touches to IoT: A User-Centric IoT Architecture 167Sarabjeet Kaur Kochhar 6.1 Introduction 167 6.2 Enabling Technologies for BDA of IoT Systems 169 6.3 Personalizing the IoT 171 6.3.1 Personalization for Business 172 6.3.2 Personalization for Marketing 172 6.3.3 Personalization for Product Improvement and Service Optimization 173 6.3.4 Personalization for Automated Recommendations 174 6.3.5 Personalization for Improved User Experience 174 6.4 Related Work 175 6.5 User Sensitized IoT Architecture 176 6.6 The Tweaked Data Layer 178 6.7 The Personalization Layer 180 6.7.1 The Characterization Engine 180 6.7.2 The Sentiment Analyzer 182 6.8 Concerns and Future Directions 183 6.9 Conclusions 184 References 185 7 Smart Cities and the Internet of Things 187Hemant Garg, Sushil Gupta, and Basant Garg 7.1 Introduction 187 7.2 Development of Smart Cities and the IoT 188 7.3 The Combination of the IoT with Development of City Architecture to Form Smart Cities 189 7.3.1 Unification of the IoT 190 7.3.2 Security of Smart Cities 190 7.3.3 Management of Water and Related Amenities 190 7.3.4 Power Distribution and Management 191 7.3.5 Revenue Collection and Administration 191 7.3.6 Management of City Assets and Human Resources 192 7.3.7 Environmental Pollution Management 192 7.4 How Future Smart Cities Can Improve Their Utilization of the Internet of All Things, with Examples 193 7.5 Conclusion 194 References 195 8 A Roadmap for Application of IoT-Generated Big Data in Environmental Sustainability 197Ankur Kashyap 8.1 Background and Motivation 197 8.2 Execution of the Study 198 8.2.1 Role of Big Data in Sustainability 198 8.2.2 Present Status and Future Possibilities of IoT in Environmental Sustainability 199 8.3 Proposed Roadmap 202 8.4 Identification and Prioritizing the Barriers in the Process 204 8.4.1 Internet Infrastructure 204 8.4.2 High Hardware and Software Cost 204 8.4.3 Less Qualified Workforce 204 8.5 Conclusion and Discussion 205 References 205 9 Application of High-Performance Computing in Synchrophasor Data Management and Analysis for Power Grids 209C.M. Thasnimol and R. Rajathy 9.1 Introduction 209 9.2 Applications of Synchrophasor Data 210 9.2.1 Voltage Stability Analysis 211 9.2.2 Transient Stability 212 9.2.3 Out of Step Splitting Protection 213 9.2.4 Multiple Event Detection 213 9.2.5 State Estimation 213 9.2.6 Fault Detection 214 9.2.7 Loss of Main (LOM) Detection 214 9.2.8 Topology Update Detection 214 9.2.9 Oscillation Detection 215 9.3 Utility Big Data Issues Related to PMU-Driven Applications 215 9.3.1 Heterogeneous Measurement Integration 215 9.3.2 Variety and Interoperability 216 9.3.3 Volume and Velocity 216 9.3.4 Data Quality and Security 216 9.3.5 Utilization and Analytics 217 9.3.6 Visualization of Data 218 9.4 Big Data Analytics Platforms for PMU Data Processing 219 9.4.1 Hadoop 220 9.4.2 Apache Spark 221 9.4.3 Apache HBase 222 9.4.4 Apache Storm 222 9.4.5 Cloud-Based Platforms 223 9.5 Conclusions 224 References 224 10 Intelligent Enterprise-Level Big Data Analytics for Modeling and Management in Smart Internet of Roads 231Amin Fadaeddini, Babak Majidi, and Mohammad Eshghi 10.1 Introduction 231 10.2 Fully Convolutional Deep Neural Network for Autonomous Vehicle Identification 233 10.2.1 Detection of the Bounding Box of the License Plate 233 10.2.2 Segmentation Objective 234 10.2.3 Spatial Invariances 234 10.2.4 Model Framework 234 10.2.4.1 Increasing the Layer of Transformation 234 10.2.4.2 Data Format of Sample Images 235 10.2.4.3 Applying Batch Normalization 236 10.2.4.4 Network Architecture 236 10.2.5 Role of Data 236 10.2.6 Synthesizing Samples 236 10.2.7 Invariances 237 10.2.8 Reducing Number of Features 237 10.2.9 Choosing Number of Classes 238 10.3 Experimental Setup and Results 239 10.3.1 Sparse Softmax Loss 239 10.3.2 Mean Intersection Over Union 240 10.4 Practical Implementation of Enterprise-Level Big Data Analytics for Smart City 240 10.5 Conclusion 244 References 244 11 Predictive Analysis of Intelligent Sensing and Cloud-Based Integrated Water Management System 247Tanuja Patgar and Ripal Patel 11.1 Introduction 247 11.2 Literature Survey 248 11.3 Proposed Six-Tier Data Framework 250 11.3.1 Primary Components 251 11.3.2 Contact Unit (FC-37) 253 11.3.3 Internet of Things Communicator (ESP8266) 253 11.3.4 GSM-Based ARM and Control System 253 11.3.5 Methodology 253 11.3.6 Proposed Algorithm 256 11.4 Implementation and Result Analysis 257 11.4.1 Water Report for Home 1 and Home 2 Modules 263 11.5 Conclusion 263 References 263 12 Data Security in the Internet of Things: Challenges and Opportunities 265Shashwati Banerjea, Shashank Srivastava, and Sachin Kumar 12.1 Introduction 265 12.2 IoT: Brief Introduction 266 12.2.1 Challenges in a Secure IoT 267 12.2.2 Security Requirements in IoT Architecture 268 12.2.2.1 Sensing Layer 268 12.2.2.2 Network Layer 269 12.2.2.3 Interface Layer 271 12.2.3 Common Attacks in IoT 271 12.3 IoT Security Classification 272 12.3.1 Application Domain 272 12.3.1.1 Authentication 272 12.3.1.2 Authorization 274 12.3.1.3 Depletion of Resources 274 12.3.1.4 Establishment of Trust 275 12.3.2 Architectural Domain 275 12.3.2.1 Authentication in IoT Architecture 275 12.3.2.2 Authorization in IoT Architecture 276 12.3.3 Communication Channel 276 12.4 Security in IoT Data 277 12.4.1 IoT Data Security: Requirements 277 12.4.1.1 Data: Confidentiality, Integrity, and Authentication 278 12.4.1.2 Data Privacy 279 12.4.2 IoT Data Security: Research Directions 280 12.5 Conclusion 280 References 281 13 DDoS Attacks: Tools, Mitigation Approaches, and Probable Impact on Private Cloud Environment 285R. K. Deka, D. K. Bhattacharyya, and J. K. Kalita 13.1 Introduction 285 13.1.1 State of the Art 287 13.1.2 Contribution 288 13.1.3 Organization 290 13.2 Cloud and DDoS Attack 290 13.2.1 Cloud Deployment Models 290 13.2.1.1 Differences Between Private Cloud and Public Cloud 293 13.2.2 DDoS Attacks 294 13.2.2.1 Attacks on Infrastructure Level 294 13.2.2.2 Attacks on Application Level 296 13.2.3 DoS/DDoS Attack on Cloud: Probable Impact 297 13.3 Mitigation Approaches 298 13.3.1 Discussion 309 13.4 Challenges and Issues with Recommendations 309 13.5 A Generic Framework 310 13.6 Conclusion and Future Work 312 References 312 14 Securing the Defense Data for Making Better Decisions Using Data Fusion 321Syed Rameem Zahra 14.1 Introduction 321 14.2 Analysis of Big Data 322 14.2.1 Existing IoT Big Data Analytics Systems 322 14.2.2 Big Data Analytical Methods 324 14.2.3 Challenges in IoT Big Data Analytics 324 14.3 Data Fusion 325 14.3.1 Opportunities Provided by Data Fusion 326 14.3.2 Data Fusion Challenges 326 14.3.3 Stages at Which Data Fusion Can Happen 326 14.3.4 Mathematical Methods for Data Fusion 326 14.4 Data Fusion for IoT Security 327 14.4.1 Defense Use Case 329 14.5 Conclusion 329 References 330 15 New Age Journalism and Big Data (Understanding Big Data and Its Influence on Journalism) 333Asif Khan and Heeba Din 15.1 Introduction 333 15.1.1 Big Data Journalism: The Next Big Thing 334 15.1.2 All About Data 336 15.1.3 Accessing Data for Journalism 337 15.1.4 Data Analytics: Tools for Journalists 338 15.1.5 Case Studies – Big Data 340 15.1.5.1 BBC Big Data 340 15.1.5.2 The Guardian Data Blog 342 15.1.5.3 Wikileaks 344 15.1.5.4 World Economic Forum 344 15.1.6 Big Data – Indian Scenario 345 15.1.7 Internet of Things and Journalism 346 15.1.8 Impact on Media/Journalism 347 References 348 16 Two Decades of Big Data in Finance: Systematic Literature Review and Future Research Agenda 351Nufazil Altaf 16.1 Introduction 351 16.2 Methodology 353 16.3 Article Identification and Selection 353 16.4 Description and Classification of Literature 354 16.4.1 Research Method Employed 354 16.4.2 Articles Published Year Wise 355 16.4.3 Journal of Publication 356 16.5 Content and Citation Analysis of Articles 356 16.5.1 Citation Analysis 356 16.5.2 Content Analysis 357 16.5.2.1 Big Data in Financial Markets 358 16.5.2.2 Big Data in Internet Finance 359 16.5.2.3 Big Data in Financial Services 359 16.5.2.4 Big Data and Other Financial Issues 360 16.6 Reporting of Findings and Research Gaps 360 16.6.1 Findings from the Literature Review 361 16.6.1.1 Lack of Symmetry 361 16.6.1.2 Dominance of Research on Financial Markets, Internet Finance, and Financial Services 361 16.6.1.3 Dominance of Empirical Research 361 16.6.2 Directions for Future Research 362 References 362 Index 367

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Book SynopsisZoom into the new world of remote collaboration While a worldwide pandemic may have started the Zoom revolution, the convenience of remote meetings is here to stay. Zoom For Dummies takes you from creating meetings on the platform to running global webinars. Along the way you'll learn how to expand your remote collaboration options, record meetings for future review, and even make scheduling a meeting through your other apps a one-click process. Take in all the advice or zoom to the info you need - it's all there! Discover how to set up meetingsShare screens and filesKeep your meetings secureAdd Zoom hardware to your officeGet tips for using Zoom as a social tool Award-winning author Phil Simon takes you beyond setting up and sharing links for meetings to show how Zoom can transform your organization and the way you work.Table of ContentsIntroduction 1 About This Book 2 Foolish Assumptions 2 Icons Used in This Book 4 Beyond the Book 5 Where to Go from Here 5 Thank You 6 Part 1: Staying Connected with Zoom 7 Chapter 1: Communicating and Collaborating Better with Zoom 9 Introducing Zoom 9 Discovering Zoom’s origins 10 Understanding what Zoom does 11 Reviewing the numbers behind Zoom’s rapid ascent 13 Assessing how COVID-19 changed Zoom’s trajectory 14 Reviewing Zoom’s industry awards and recognition 16 Analyzing Zoom’s competitive landscape 17 Reaping the Benefits of Zoom’s Tools 23 Zoom solves some of today’s key communications problems 23 Zoom makes people more productive 24 Zoom just works 25 Zoom is affordable 26 Zoom is flexible and interoperable 26 Zoom stays in its lane 27 Zoom lets people rediscover their humanity 28 Chapter 2: Getting to Know Zoom’s Suite of Communication Tools 29 Zoom’s Core Services 30 Ready to Go 31 Zoom Meetings & Chat 31 Zoom Video Webinars 37 Some Assembly Required 39 Zoom Rooms 39 Zoom Phone 43 Part 2: Communicating and Collaborating in Zoom 45 Chapter 3: Setting Up Zoom 47 Taking Your First Steps 47 Creating a new Zoom account 48 Modifying your Zoom plan 52 Downloading and installing the Zoom desktop client 54 Signing in to the Zoom desktop client 56 Completing your Zoom profile 57 Getting to know the Zoom UI 58 Reviewing Zoom Account Management 59 Adding new users to your Zoom account 60 Deactivating existing accounts 61 Deleting existing users from your Zoom account 62 Unlinking users from your Zoom account 63 Unlocking the power of Zoom user groups 64 Discussing the Importance of Zoom Roles 67 Reviewing Zoom’s default roles 67 Creating new user roles 68 Changing an existing user’s role 69 Chapter 4: Connecting with Others via Zoom Meetings 71 Getting Started with Zoom Meetings 72 Reviewing Zoom’s meeting-specific roles 72 Locating your personal Zoom information 74 Augmenting your Zoom meetings 75 Hosting Zoom Meetings 78 Inviting others to your current meeting 80 Planning a future Zoom meeting 82 Letting others in to your current meeting 89 Joining others’ Zoom meetings 90 Putting your best foot forward 93 Performing Mid-Meeting Actions 95 Reviewing your recording options 95 Using virtual backgrounds 97 Managing and interacting with meeting participants 99 Launching live polls 100 Using breakout rooms during meetings 102 Sharing content with meeting participants 105 Putting a Bow on Your Meeting 115 Viewing meeting transcriptions 116 Accessing your recorded meetings 117 Chapter 5: Getting to Know the Other Side of Zoom Meetings & Chat 121 Managing Your Zoom Contacts 122 Adding contacts to your Zoom directory 123 Removing an existing contact from your Meetings & Chat directory 125 Inviting an existing Zoom contact to a new meeting 126 Adding internal contacts to an existing meeting 126 Performing contact-specific actions 127 Understanding User Status in Zoom 128 Getting familiar with Zoom’s status icons 129 Changing your status in Meetings & Chat 130 Staying current with Zoom notifications 133 Chatting in Zoom 134 Exchanging messages with your individual Zoom contacts 134 Holding group chats 136 Creating threads in Zoom 139 Saving message drafts 141 Editing and deleting your messages 141 Referencing other Zoom members in a group discussion 142 Adding some flair to your messages 143 Uploading and sharing files in Zoom 146 Sending screen captures 148 Performing message-specific actions 149 Searching in Zoom 150 Performing basic Zoom searches 150 Performing more advanced Zoom searches 153 Performing searches with wildcards 155 Part 3: Becoming a Zoom Power User 157 Chapter 6: Getting Even More Out of Meetings & Chat 159 Managing Users via IM Groups 160 Understanding the need for IM groups 160 Adding a new IM group 161 Adding users to IM groups 162 Exploring Additional Options and Features in Meetings & Chat 163 Understanding Zoom Channels 163 Refining your Zoom notifications 174 Sharing code snippets 178 Running Reports in Zoom 181 Reviewing Zoom’s role-based reporting 182 Running a simple report 185 Customizing your reports 186 Exporting raw report data 188 Chapter 7: Enhancing Zoom with Third-Party Apps 189 Understanding the Rationale behind Third-Party Apps 190 Benefits of using third-party apps 190 Why Zoom relies upon external developers 191 Introducing the Zoom App Marketplace 192 Searching for a specific Zoom app 193 Browsing for Zoom apps 194 Managing Your Zoom Apps 195 Installing a Zoom app 196 Uninstalling a Zoom app 197 Viewing your organization’s installed apps 199 Restricting apps in Meetings & Chat 199 Limiting apps that members can install 200 Recommending a Few Useful Zoom Apps 202 Treading Lightly with Apps 204 Chapter 8: Connecting with the Masses through Webinars 207 Taking Your First Steps 208 Creating your first Zoom webinar 209 Setting your registration options 210 Preparing for your webinar 212 Reviewing Zoom’s webinar-specific roles 217 Taking Zoom webinars up a notch with third-party apps and integrations 223 Canceling your webinar 224 Running Your Webinar 225 Launching your webinar 225 Sharing and annotating your screen 228 Interacting with webinar attendees 230 Concluding Your Webinar 236 Accessing your recorded webinar and sharing it with the world 236 Downloading your recorded webinar 238 Running webinar-related reports 239 Deleting your recorded webinars 241 Part 4: Deploying Zoom in the Organization 243 Chapter 9: Protecting Your Communications in Zoom 245 Putting Zoom’s Challenges into Proper Context 246 Understanding creative destruction 246 Managing the double-edged sword of sudden, massive growth 247 Zoombombing 247 Gauging Zoom’s Response 251 Bringing Zoom’s privacy and security settings to the forefront 252 Enhancing its encryption method 253 Enabling default passwords and waiting rooms for all meetings 255 Increasing the length of meeting and webinar IDs 255 Configuring Zoom for Maximum Privacy and Security 256 Keeping Zoom up to date 256 Enabling two-factor authentication 260 Authenticating user profiles 264 Intelligently using passwords 267 Following Zoom’s best security practices 272 Using your brain 274 Looking toward the Future 276 Chapter 10: Taking Group Meetings to the Next Level with Zoom Rooms 279 Revisiting the Early Days of Immersive-Telepresence Technology 280 TelePresence by Cisco Systems 280 Halo by Hewlett-Packard 281 The underwhelming results of early immersive-telepresence technology 282 Introducing Zoom Rooms 283 Features of Zoom Rooms 283 Cost and functionality 284 The types of environments that typically benefit from Zoom Rooms 284 Setting Up Your Zoom Room 285 Software 285 Hardware 286 Lighting 291 Chapter 11: Making Calls with Zoom Phone 293 Getting Started with Zoom Phone 294 Adding Zoom Phone to your existing plan 294 Setting up Zoom to receive inbound calls 296 Setting up Zoom to make outbound calls 298 Reviewing the Basic Features of Zoom Phone 302 Before distributing your Zoom Phone number 303 Talking to people via Zoom Phone 306 Performing other call-related actions 309 Chapter 12: Getting Everyone to Zoom Together 313 Understanding the Relative Ease of Zoom Adoption 314 Zoom is remarkably easy to use 314 Zoom doesn’t step on email’s toes 314 Zoom doesn’t require people to rethink how they work 315 Zoom benefits from network effects 317 Applying Different Types of Techniques 318 Organizational techniques 318 Individual techniques 321 Chapter 13: Zooming toward the Future 325 Cutting-Edge Technologies 326 Augmented reality 326 Virtual reality 326 Artificial intelligence and machine learning 327 Voice 329 Better voice transcriptions 330 More useful commands 330 Real-time language translation 331 Other Developments and Enhancements 331 More robust third-party apps 331 Key acquisitions and partnerships 332 Increased security 332 Part 5: The Part of Tens 335 Chapter 14: Ten Great Zoom Tips 337 Try Before You Buy 337 Consider Upgrading Your Firm’s Existing Zoom Plan 338 Take Security Seriously 338 Keep Zoom Updated 339 Create a Personal Zoom Account 339 Explore Zoom’s Advanced Features 340 Measure Twice and Cut Once 340 Develop a Contingency Plan for Important Meetings 340 Expect Some Resistance to Zoom at Mature Firms 341 Avoid Zoom Fatigue 342 Chapter 15: Ten Common Myths about Zoom 343 Zoom Is No Different than Legacy Videoconferencing Tools 343 Zoom Is Fundamentally Insecure 344 Zoom’s Customers Use the Tools in a Uniform Way 344 Zoom Ensures Flawless Business Communication 345 Zoom Decimates the Need for In-Person Communication 345 Zoom Eliminates the Need for Email 346 You Can’t Overuse Zoom 346 Zoom Is Too Expensive for Our Company 347 Zoom Won’t Integrate with Our Key Enterprise Technologies 348 Our Workers Don’t Need a Tool like Zoom 348 Only Hipsters at Tech-Savvy Startups Use Zoom 348 Chapter 16: Top Ten or So Zoom Resources 349 Resources for Everyday Users 350 Zoom support 350 Zoom training 351 Zoom on YouTube 351 Zoom apps 351 Zoom blog 351 Zoomtopia 352 Zoom virtual backgrounds 352 Zoom on social networks 352 Resources for Software Developers 353 Zoom developer guides 353 Developer forums 353 Chapter 17: Ten Ways to Socialize via Zoom 355 Cooking and Eating Meals 355 Visiting Sick Friends and Family Members 356 Dating 356 Sharing a Few Drinks over Happy Hour 356 Playing Brick-and-Mortar Games 356 Playing Video Games 356 Watching Movies and TV Shows 357 Performing Stand-Up Comedy 357 Staying Fit 357 Holding Miscellaneous Parties 357 Index 359

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Book SynopsisTable of ContentsIntroduction 1 About This Book 1 Foolish Assumptions 2 Icons Used in This Book 2 Beyond the Book 3 Where to Go from Here 3 Part 1: Introduction to Microsoft Office for Mac 5 Chapter 1: Overview from 10000 Feet 7 The Many Faces of Office for Mac 7 Installing Office 9 Getting a Microsoft account 9 Downloading and installing Office 9 Keeping Your Apps Up-to-Date 11 Chapter 2: A Sweet Suite: Introducing the Office Apps 13 What’s New and Good 15 The suite life 15 Word 18 PowerPoint 18 Excel 19 Outlook 19 What’s New but Bad 20 Together They’re Better 21 Chapter 3: Common Features in All Office Apps 23 Using Menus in Office Apps 23 Toolbars Ribbons and Panes: Think “Visual” Menus 25 The Quick Access toolbar 26 Reveling in the ribbon 26 Panes are anything but a pain 28 Customizing the Quick Access Toolbar Ribbon Tabs and Keyboard Shortcuts 29 Customize the Quick Access toolbar 29 Customize ribbon tabs and menus 30 Creating ribbon tabs and tab groups 32 Customizing keyboard shortcuts 32 Creating and Saving Documents 34 Using the gallery to open templates or recent documents 34 Saving a document 36 Saving and Using Documents in the Cloud 39 Saving a file on a OneDrive or SharePoint location 40 Sharing a file you’ve saved using OneDrive or SharePoint 41 Opening a file you’ve saved on your OneDrive or SharePoint location 41 Understanding App Preferences 42 App preferences: Why? 42 App preferences: How? 42 Help: It’s more than just a Beatles movie 44 Official Microsoft websites 46 Part 2: Mastering Microsoft Word 47 Chapter 4: Getting to Know Microsoft Word 49 Using a Variety of Versatile Views 50 Print layout view 51 Web layout view 51 Outline view 53 Draft view 54 Focus view 54 Full screen view 56 Immersive reader view 57 Zoom, zoom, zoom 58 Getting around in Your Document 59 A scroll new world: Navigating by using the mouse or trackpad 59 Navigating by using keyboard navigation 61 Chapter 5: Creating Documents 65 Adding Text and Graphics to Your Document 65 Entering text in your document 66 Inserting an image in your document 66 Selecting Text for Editing and Formatting 71 Formatting Text Paragraphs and Images 74 Changing the look of the font 74 Changing the look of paragraphs 76 Changing the look of images 79 Copying Words and Images from Other Sources 83 Dragging and dropping 83 Copying and pasting 84 Working with Other Document Elements 85 Adding elements by using the ribbon 86 Modifying elements by using the ribbon 87 Removing elements 87 Chapter 6: Refining and Editing Documents with Word 89 Moving Text and Images in Your Documents 90 Moving items easily within a document 90 Using special Word features that make moving stuff easier 91 Check It Out: Checking Your Spelling Grammar and Hyphenation 93 Double-checking your spelling and grammar 94 Utilizing Word’s built-in editor 95 Correcting your errors automatically with AutoCorrect 98 Hypnotic hyphenation 101 Discovering the Reference Tools 102 The thoroughly terrific thesaurus 102 The online reference tools 104 Saving Time with the Find and Replace Feature 108 Finding and replacing text 108 Using Find and Replace to make formatting changes 109 Using advanced search options to do more 110 Chapter 7: Using Templates and Other Design Elements 113 Canned Design: Working with Word Templates 114 Getting started with the Document Gallery 114 Sample project: Starting a custom newsletter from a template 114 Creating a customized version of a Word template 116 Saving your customized template 116 Adding Basic Design Elements to Your Document 118 Imagine that: Adding and resizing an image 119 Moving images around documents 119 Creating headers and footers 121 Adding lines to your header or footer 124 Arranging text with some help from tabs 125 Setting Tabs Margins and Other Types of Indents 126 Setting tabs 126 Making your margins 129 Working with indents 130 Columns and Lists and Text Boxes (Oh My) 132 Column creation 132 Lists made easy (and pretty) 134 Text anywhere with text boxes 135 Working with Tables 136 Creating a table 136 Formatting a table 139 Chapter 8: This and That: Advanced and Collaboration Features 143 Going in Style: Defining Styles for Easy Formatting 144 The easy way: Defining a style by example 144 The harder way: Defining a style by dialog 147 Customizing Interface Elements 147 Customizing ribbon tabs and menus 148 Create ribbon tabs and tab groups 149 Customizing the Quick Access toolbar 150 Customizing keyboard shortcuts 152 Creating a Table of Contents Automatically 154 Using Collaboration Features 157 Turning on the Track Changes feature 158 Accepting or rejecting changes 160 Addressing Envelopes and Creating Labels 162 Creating and printing an envelope 162 Creating labels 164 Creating Web Pages 167 Part 3: Powerful Presentations With Microsoft Powerpoint 169 Chapter 9: Getting to Know Microsoft PowerPoint 171 Viewing Slides with Various Views 172 Normal view 173 Slide sorter view 174 Slide show view 174 Notes page view 176 Presenter view 176 Reading view 177 Planning Your Presentation: A Few Tips for Making Your Slide Shows Better 178 Use the 10/20/30 rule 178 Start with an outline 179 Chapter 10: Creating Slide Shows 181 Getting Started 182 Giving Your Presentation a Visual Theme 182 Using a theme as is 182 Customizing a theme’s colors or fonts 184 Using Laborsaving Slide Layouts 186 Mastering slide masters 186 Working with title and text objects 191 Working with PowerPoint Objects 193 Formatting tables 194 Creating a chart 196 Get smart: Use SmartArt 199 More media: Adding images movies or sounds 201 Using Quick Styles and Effects 203 Aligning arranging and distributing objects 206 Chapter 11: Making Your Slide Shows Sing 213 Using Transitions to Create a Polished-Looking Presentation 214 Applying transitions 214 Transition options 216 Using Custom Animation 217 Animating text or graphics 217 Animating a chart or SmartArt graphic 223 Creating Interactivity with Action Buttons 224 Share and Share Alike 226 Printing hard copy 226 Exporting (saving) your presentations as files 229 Chapter 12: Presentation Prowess 237 Working with the Basic PowerPoint Tools 238 Ribbon and Quick Access toolbar customization 238 Proofing and reference tools 241 Commenting on slides 242 Templates and other miscellaneous tools 244 Using Hyperlinks 244 Recording Narration 246 Making the Most of Your PowerPoint Presentation 247 Rehearsing and setting slide timings 247 Using the presenter tools 249 Working with a single display 250 Part 4: Crunching Data with Microsoft’s Most Excellent Excel 253 Chapter 13: Getting to Know Microsoft Excel 255 Interfacing with Excel’s User Interface 256 Understanding the Concept of Rows Columns and Cells 257 Using the Views 258 Navigating within Your Worksheets 258 Chapter 14: Crunching Numbers (and Data) with Excel 261 Working with Templates 262 Choosing a local template 262 Working with online templates 263 Entering Formatting and Editing Data in Cells 264 Copying and Pasting Data (and Formatting) between Cells 266 AutoFilling Cells 268 Understanding Formulas and Functions 269 Creating a formula 269 Keeping track of Excel formulas with Formula Builder 270 Using the Error Checking Feature 273 Sorting and Filtering Data 275 Sorting data 275 Using filters to narrow your data searches 276 Finding and Replacing Data 277 Chapter 15: Enhancing and Printing Your Excel Spreadsheets 281 Creating and Formatting Charts 282 Including Pictures and Shapes 285 Adding Formatting and Special Effects 288 Creating and Sorting Custom Lists 291 Creating a custom list 292 Sorting a list 292 Adding Headers and Footers 293 Creating a header or footer 293 Editing a header or footer 294 Printing Your Spreadsheets 295 Preparing for printing with Page Setup 296 Ready set print 298 Chapter 16: Advanced Spreadsheeting 299 Customizing Excel 300 Preferences 300 Conditional Formatting 304 Naming a Cell Range 307 Working with Multiple Worksheets 307 Hyperlinking 308 Collaboration and Revision Tracking (aka Change Tracking) 310 Saving a workbook online 310 Tracking your changes 312 Accepting and rejecting your changes 313 Part 5: Microsoft Outlook: Miraculous Manager of Most Things 315 Chapter 17: Getting to Know Outlook 317 Taking a Quick Tour of Outlook 318 The Mail module 318 The Calendar module 319 The People module 320 The Notes and Tasks modules 320 Chapter 18: Emailing with Outlook 323 Setting Up Outlook for Email 323 Setting up your email automatically 324 Setting up your email account manually 327 Sending Receiving and Managing Your Email 330 Creating and sending messages 330 Receiving messages 336 Managing your email 340 Chapter 19: Managing Your Affairs with Outlook 345 Scheduling Events with Calendar 346 Managing Your Crew with the People Module 353 Adding and removing contacts 353 Working with contacts 356 Delving into the Home tab 360 Tracking Progress with the Tasks Module 363 Understanding Notes 365 Chapter 20: Getting Advanced with Outlook 367 Customizing: It’s Not Just for Hot Rods Anymore 367 Reducin’ the ribbon 368 Concentrating on columns 368 Hiding showing and rearranging interface elements 369 The fast way to start an advanced search 370 What’s Your Preference? 371 Your personal preferences 371 Roll over Beethoven and catch the email preferences 373 Everything but the Kitchen Sync 375 “New” Outlook? Yes Please! 376 Part 6: the Part of Tens 379 Chapter 21: Ten Unsung Office Features and Microsoft Apps for Mac 381 The Developer Ribbon Tab 381 A Multitude of Fonts 382 Icons Gallery 383 Import Outlook Archives 384 Microsoft Teams 384 Outlook Profile Manager 386 Microsoft Remote Desktop 386 Microsoft Edge 387 Microsoft To Do 388 Microsoft OneNote 388 Chapter 22: Ten Timesaving Shortcuts and Tips for Enhanced Productivity 389 Memorize Keyboard Shortcuts 389 Get to Know Your Preferences 390 Save a Document as a PDF File 391 Save Time by Using the Share ➪ Email (as Attachment) Menu Item 392 Focus on the Task at Hand 393 Use the Open Recent Feature to Open Items from the Dock 393 Get Help 393 Use Format Painter 394 Speak Your Mind with Dictation 394 Don’t Forget Your Free OneDrive 395 Chapter 23: Ten Ways to Customize Office 397 Modify the Quick Access Toolbar 397 Modify Existing Ribbon Tabs and Tab Groups 398 Create a New Ribbon Tab or Tab Group for Frequently Used Commands 399 Focus with Full Screen 400 Deal with Frequently Used Documents 401 Remove Unused Keyboard Shortcuts 401 Change an Existing Keyboard Shortcut 402 Create a New Keyboard Shortcut 402 Create Your Own Templates 403 Experiment with Dark Mode 403 Index 405

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Book SynopsisDATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essentiTable of ContentsPreface xv 1 A Brief Introduction and Importance of Data Science 1Karthika N., Sheela J. and Janet B. 1.1 What is Data Science? What Does a Data Scientist Do? 2 1.2 Why Data Science is in Demand? 2 1.3 History of Data Science 4 1.4 How Does Data Science Differ from Business Intelligence? 9 1.5 Data Science Life Cycle 11 1.6 Data Science Components 13 1.7 Why Data Science is Important 14 1.8 Current Challenges 15 1.8.1 Coordination, Collaboration, and Communication 16 1.8.2 Building Data Analytics Teams 16 1.8.3 Stakeholders vs Analytics 17 1.8.4 Driving with Data 17 1.9 Tools Used for Data Science 19 1.10 Benefits and Applications of Data Science 28 1.11 Conclusion 28 References 29 2 Exploration of Tools for Data Science 31Qasem Abu Al-Haija 2.1 Introduction 32 2.2 Top Ten Tools for Data Science 35 2.3 Python for Data Science 35 2.3.1 Python Datatypes 36 2.3.2 Helpful Rules for Python Programming 37 2.3.3 Jupyter Notebook for IPython 37 2.3.4 Your First Python Program 38 2.4 R Language for Data Science 39 2.4.1 R Datatypes 39 2.4.2 Your First R Program 41 2.5 SQL for Data Science 44 2.6 Microsoft Excel for Data Science 48 2.6.1 Detection of Outliers in Data Sets Using Microsoft Excel 48 2.6.2 Regression Analysis in Excel Using Microsoft Excel 50 2.7 D3.JS for Data Science 57 2.8 Other Important Tools for Data Science 58 2.8.1 Apache Spark Ecosystem 58 2.8.2 MongoDB Data Store System 60 2.8.3 MATLAB Computing System 62 2.8.4 Neo4j for Graphical Database 63 2.8.5 VMWare Platform for Virtualization 65 2.9 Conclusion 66 References 68 3 Data Modeling as Emerging Problems of Data Science 71Mahyuddin K. M. Nasution and Marischa Elveny 3.1 Introduction 72 3.2 Data 72 3.2.1 Unstructured Data 74 3.2.2 Semistructured Data 74 3.2.3 Structured Data 76 3.2.4 Hybrid (Un/Semi)-Structured Data 77 3.2.5 Big Data 78 3.3 Data Model Design 79 3.4 Data Modeling 81 3.4.1 Records-Based Data Model 81 3.4.2 Non–Record-Based Data Model 84 3.5 Polyglot Persistence Environment 87 References 88 4 Data Management as Emerging Problems of Data Science 91Mahyuddin K. M. Nasution and Rahmad Syah 4.1 Introduction 92 4.2 Perspective and Context 92 4.2.1 Life Cycle 93 4.2.2 Use 95 4.3 Data Distribution 98 4.4 CAP Theorem 100 4.5 Polyglot Persistence 101 References 102 5 Role of Data Science in Healthcare 105Anidha Arulanandham, A. Suresh and Senthil Kumar R. 5.1 Predictive Modeling—Disease Diagnosis and Prognosis 106 5.1.1 Supervised Machine Learning Models 107 5.1.2 Clustering Models 110 5.1.2.1 Centroid-Based Clustering Models 110 5.1.2.2 Expectation Maximization (EM) Algorithm 110 5.1.2.3 DBSCAN 111 5.1.3 Feature Engineering 111 5.2 Preventive Medicine—Genetics/Molecular Sequencing 111 5.2.1 Technologies for Sequencing 113 5.2.2 Sequence Data Analysis with BioPython 114 5.2.2.1 Sequence Data Formats 114 5.2.2.2 BioPython 117 5.3 Personalized Medicine 121 5.4 Signature Biomarkers Discovery from High Throughput Data 122 5.4.1 Methodology I — Novel Feature Selection Method with Improved Mutual Information and Fisher Score 123 5.4.1.1 Algorithm for the Novel Feature Selection Method with Improved Mutual Information and Fisher Score 124 5.4.1.2 Computing F-Score Values for the Features 125 5.4.1.3 Block Diagram for the Method-1 125 5.4.1.4 Data Set 126 5.4.1.5 Identification of Biomarkers Using the Feature Selection Technique-I 127 5.4.2 Feature Selection Methodology-II — Entropy Based Mean Score with mRMR 128 5.4.2.1 Algorithm for the Feature Selection Methodology-II 130 5.4.2.2 Introduction to mRMR Feature Selection 132 5.4.2.3 Data Sets 132 5.4.2.4 Identification of Biomarkers Using Rank Product 133 5.4.2.5 Fold Change Values 133 Conclusion 136 References 136 6 Partitioned Binary Search Trees (P(h)-BST): A Data Structure for Computer RAM 139Pr. D.E Zegour 6.1 Introduction 140 6.2 P(h)-BST Structure 141 6.2.1 Preliminary Analysis 143 6.2.2 Terminology and Conventions 143 6.3 Maintenance Operations 143 6.3.1 Operations Inside a Class 145 6.3.2 Operations Between Classes (Outside a Class) 148 6.4 Insert and Delete Algorithms 153 6.4.1 Inserting a New Element 153 6.4.2 Deleting an Existing Element 157 6.5 P(h)-BST as a Generator of Balanced Binary Search Trees 160 6.6 Simulation Results 162 6.6.1 Data Structures and Abstract Data Types 164 6.6.2 Analyzing the Insert and Delete Process in Random Case 164 6.6.3 Analyzing the Insert Process in Ascending (Descending) Case 168 6.6.4 Comparing P(2)-BST/P(∞)-BST to Red-Black/AVL Trees 174 6.7 Conclusion 175 Acknowledgments 176 References 176 7 Security Ontologies: An Investigation of Pitfall Rate 179Archana Patel and Narayan C. Debnath 7.1 Introduction 179 7.2 Secure Data Management in the Semantic Web 184 7.3 Security Ontologies in a Nutshell 187 7.4 InFra_OE Framework 189 7.5 Conclusion 193 References 193 8 IoT-Based Fully-Automated Fire Control System 199Lalit Mohan Satapathy 8.1 Introduction 200 8.2 Related Works 201 8.3 Proposed Architecture 203 8.4 Major Components 205 8.4.1 Arduino UNO 205 8.4.2 Temperature Sensor 207 8.4.3 LCD Display (16X2) 208 8.4.4 Temperature Humidity Sensor (DHT11) 209 8.4.5 Moisture Sensor 210 8.4.6 CO2 Sensor 211 8.4.7 Nitric Oxide Sensor 212 8.4.8 CO Sensor (MQ-9) 212 8.4.9 Global Positioning System (GPS) 212 8.4.10 GSM Modem 213 8.4.11 Photovoltaic System 214 8.5 Hardware Interfacing 216 8.6 Software Implementation 218 8.7 Conclusion 222 References 223 9 Phrase Level-Based Sentiment Analysis Using Paired Inverted Index and Fuzzy Rule 225Sheela J., Karthika N. and Janet B. 9.1 Introduction 226 9.2 Literature Survey 228 9.3 Methodology 233 9.3.1 Construction of Inverted Wordpair Index 234 9.3.1.1 Sentiment Analysis Design Framework 235 9.3.1.2 Sentiment Classification 236 9.3.1.3 Preprocessing of Data 237 9.3.1.4 Algorithm to Find the Score 240 9.3.1.5 Fuzzy System 240 9.3.1.6 Lexicon-Based Sentiment Analysis 241 9.3.1.7 Defuzzification 242 9.3.2 Performance Metrics 243 9.4 Conclusion 244 References 244 10 Semantic Technology Pillars: The Story So Far 247Michael DeBellis, Jans Aasman and Archana Patel 10.1 The Road that Brought Us Here 248 10.2 What is a Semantic Pillar? 249 10.2.1 Machine Learning 249 10.2.2 The Semantic Approach 250 10.3 The Foundation Semantic Pillars: IRI’s, RDF, and RDFS 252 10.3.1 Internationalized Resource Identifier (IRI) 254 10.3.2 Resource Description Framework (RDF) 254 10.3.2.1 Alternative Technologies to RDF: Property Graphs 256 10.3.3 RDF Schema (RDFS) 257 10.4 The Semantic Upper Pillars: OWL, SWRL, SPARQL, and SHACL 259 10.4.1 The Web Ontology Language (OWL) 260 10.4.1.1 Axioms to Define Classes 262 10.4.1.2 The Open World Assumption 263 10.4.1.3 No Unique Names Assumption 263 10.4.1.4 Serialization 264 10.4.2 The Semantic Web Rule Language 264 10.4.2.1 The Limitations of Monotonic Reasoning 267 10.4.2.2 Alternatives to SWRL 267 10.4.3 SPARQL 268 10.4.3.1 The SERVICE Keyword and Linked Data 268 10.4.4 SHACL 271 10.4.4.1 The Fundamentals of SHACL 272 10.5 Conclusion 274 References 274 11 Evaluating Richness of Security Ontologies for Semantic Web 277Ambrish Kumar Mishra, Narayan C. Debnath and Archana Patel 11.1 Introduction 277 11.2 Ontology Evaluation: State-of-the-Art 280 11.2.1 Domain-Dependent Ontology Evaluation Tools 281 11.2.2 Domain-Independent Ontology Evaluation Tools 282 11.3 Security Ontology 284 11.4 Richness of Security Ontologies 287 11.5 Conclusion 295 References 295 12 Health Data Science and Semantic Technologies 299Haleh Ayatollahi 12.1 Health Data 300 12.2 Data Science 301 12.3 Health Data Science 301 12.4 Examples of Health Data Science Applications 304 12.5 Health Data Science Challenges 306 12.6 Health Data Science and Semantic Technologies 308 12.6.1 Natural Language Processing (NLP) 309 12.6.2 Clinical Data Sharing and Data Integration 310 12.6.3 Ontology Engineering and Quality Assurance (QA) 311 12.7 Application of Data Science for COVID-19 313 12.8 Data Challenges During COVID-19 Outbreak 314 12.9 Biomedical Data Science 315 12.10 Conclusion 316 References 317 13 Hybrid Mixed Integer Optimization Method for Document Clustering Based on Semantic Data Matrix 323Tatiana Avdeenko and Yury Mezentsev 13.1 Introduction 324 13.2 A Method for Constructing a Semantic Matrix of Relations Between Documents and Taxonomy Concepts 327 13.3 Mathematical Statements for Clustering Problem 330 13.3.1 Mathematical Statements for PDC Clustering Problem 330 13.3.2 Mathematical Statements for CC Clustering Problem 334 13.3.3 Relations between PDC Clustering and CC Clustering 336 13.4 Heuristic Hybrid Clustering Algorithm 340 13.5 Application of a Hybrid Optimization Algorithm for Document Clustering 342 13.6 Conclusion 344 Acknowledgment 344 References 344 14 Role of Knowledge Data Science During COVID-19 Pandemic 347Veena Kumari H. M. and D. S. Suresh 14.1 Introduction 348 14.1.1 Global Health Emergency 350 14.1.2 Timeline of the COVID-19 351 14.2 Literature Review 354 14.3 Model Discussion 356 14.3.1 COVID-19 Time Series Dataset 357 14.3.2 FBProphet Forecasting Model 358 14.3.3 Data Preprocessing 360 14.3.4 Data Visualization 360 14.4 Results and Discussions 362 14.4.1 Analysis and Forecasting: The World 362 14.4.2 Performance Metrics 371 14.4.3 Analysis and Forecasting: The Top 20 Countries 377 14.5 Conclusion 388 References 389 15 Semantic Data Science in the COVID-19 Pandemic 393Michael DeBellis and Biswanath Dutta 15.1 Crises Often Are Catalysts for New Technologies 393 15.1.1 Definitions 394 15.1.2 Methodology 395 15.2 The Domains of COVID-19 Semantic Data Science Research 397 15.2.1 Surveys 398 15.2.2 Semantic Search 399 15.2.2.1 Enhancing the CORD-19 Dataset with Semantic Data 399 15.2.2.2 CORD-19-on-FHIR – Semantics for COVID-19 Discovery 400 15.2.2.3 Semantic Search on Amazon Web Services (AWS) 400 15.2.2.4 COVID*GRAPH 402 15.2.2.5 Network Graph Visualization of CORD-19 403 15.2.2.6 COVID-19 on the Web 404 15.2.3 Statistics 405 15.2.3.1 The Johns Hopkins COVID-19 Dashboard 405 15.2.3.2 The NY Times Dataset 406 15.2.4 Surveillance 406 15.2.4.1 An IoT Framework for Remote Patient Monitoring 406 15.2.4.2 Risk Factor Discovery 408 15.2.4.3 COVID-19 Surveillance in a Primary Care Network 408 15.2.5 Clinical Trials 409 15.2.6 Drug Repurposing 411 15.2.7 Vocabularies 414 15.2.8 Data Analysis 415 15.2.8.1 CODO 415 15.2.8.2 COVID-19 Phenotypes 416 15.2.8.3 Detection of “Fake News” 417 15.2.8.4 Ontology-Driven Weak Supervision for Clinical Entity Classification 417 15.2.9 Harmonization 418 15.3 Discussion 418 15.3.1 Privacy Issues 420 15.3.2 Domains that May Currently be Under Utilized 421 15.3.2.1 Detection of Fake News 421 15.3.2.2 Harmonization 421 15.3.3 Machine Learning and Semantic Technology: Synergy Not Competition 422 15.3.4 Conclusion 423 Acknowledgment 423 References 423 Index 427

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Book SynopsisLearn to design games for tablets from a renowned game designer! Eager to start designing games for tablets but not sure where to start? Look no further! Gaming guru Scott Rogers has his finger on the pulse of tablet game design and is willing to impart his wisdom and secrets for designing exciting and successful games.Table of ContentsIntroduction Swipe This Book! 1 Some Possible Reasons You Picked Up Swipe This! 2 Who is This Book For? 2 Working Video Game Professionals 3 Future Video Game Designers 4 Students of Game Design 5 People Who Love Video Games 6 Why Another Book on Game Design? 7 What You Won’t Find in This Book 7 Very Deep Theory 8 The Complete History of Video Games 8 How to Program Video Games 9 How to Create Video Game Art 9 Lameness 9 What You Will Find in This Book 9 Practical Information 10 Good News! 11 Chapter 1 Hardware Wars 13 Touch and Go! 18 More Things to Be Touchy About 20 Game On! 21 Destroy All Humans! 28 Developer Interview 1 Paul O’Connor 29 Chapter 2 Clown-On-A-Unicycle 33 Let’s Get High (Concept) 35 Yes, But is It a Game? 39 Really Quick Guide to the One-Sheet 40 Form Follows Function 41 Function Follows Form 42 Length Matters 43 The Average Play Session Will Last 2 to 5 Minutes 45 The Overall Game Length Should Only Be a Few Hours 45 Develop Gameplay in Terms of Depth, Not Length 48 Emphasize Repeatability Over Content 48 Create Natural Play Breaks Over the Course of the Game 49 Emergent Eschmergent 49 I Want to Be Rich and Powerful 51 Game Design Spotlight 1 Fruit Ninja HD 53 Chapter 3 Finger Fu! 57 The Fabulous Folio of Facile Fingering 60 You Only Have Two (to Four) Fingers 68 Hands Solo 70 Virtual Joysticks Suck … or Do They? 75 Hands Get Their Revenge 77 Developer Interview 2 Andy Ashcraft 81 Chapter 4 GenreBusters 85 Making a Name 91 Games Need Story … or Do They? 94 Unreliable Narrators 106 Game Design Spotlight 2 Helsing’s Fire 107 Chapter 5 Puzzlings 111 Superior Logic 115 The Problem with Math 118 Don’t Be Difficult 121 Physics: It’s for the Birds 123 Let’s Get Wet 127 Do You See What I See? 128 Hiding in Plain Sight 131 Word Up 133 And the Solution is … 135 Developer Interview 3 Erin Reynolds 137 Chapter 6 Arcade Crazy 141 The “Good Ol’ Days” 143 Games? I’ll Give You Games! 147 A-mazing Games 151 Cuteness Counts 152 The First Rule of Fighting Games … 155 Get on the Ball 159 Baby, You Can Drive My iPhone 162 Beat It, Kid 165 Everything New is Old Again 166 Game Design Spotlight 3 Where’s My Water? 171 Chapter 7 Action Guy 175 Think Like an Artist 177 The Metrics System 179 Didn’t We Already Talk about Character? 182 World Building for Fun and Profit 183 What’s with All the Zombies? 189 How to Design an Enemy in Six Easy Steps 190 Fighting for Cash and Glory! 194 Pain, Pain, Go Away, Come Again Some Other Day 201 Putting the “Ack” in “Feedback15” 202 The Only Good Player is a Dead One 203 Developer Interview 4 Blade Olsen 205 Chapter 8 DoodleCat 209 Get to the Point 210 Finger Pointers 212 The Artist’s Way 214 A Line on Fun 217 Meow Meow Meow 220 Game Design Spotlight 4 Jetpack Joyride 223 Chapter 9 Casual Fryday 227 Board Games 229 Card Games 232 Real Time Strategy Games 234 How to Create a Tech Tree 236 Tower Defense Games 238 God Games 241 Sports Games 246 RPGs and MORPGs 249 The Crown Jewel of Casual 253 To Clone or Not to Clone? 255 Developer Interview 5 Sam Rosenthal 257 Chapter 10 The New Genres 261 Micro-games 263 Gesture Games 264 The Art of Art 266 Tilt Games 268 Endless Runners 269 Augmented Reality 276 Now is the Future! 280 Game Design Spotlight 5 No, Human 281 Developer Interview 6 Andy Reeves 285 Chapter 11 Make Your Own Star Wars 289 How to Start 292 Diversion #1: How to Storyboard Gameplay 293 Diversion #2: A Word About Title Screens 296 Team Building 101 300 Sound Advice 304 The Three -ions 305 Diversion #3: Where to Find Teammates 305 RadGame-GDDFirstDraft-20XX0614-SR.doc 308 Production Pointers 309 The Topic No One Likes Talking About 310 Ship It! 314 Marketing Your Game 315 You Can Make a Game, But Can You Do the Paperwork? (Submitting Your Game) 317 Diversion #4: How to Design an Icon 318 Now Where Were We? 320 Post-Release Strategies 320 What to Do for an Encore? 321 Game Design Spotlight 6 Angry Birds 323 App-pendix 1 The Class of 2008 329 Arcade Games 329 Breaker Games 331 Classic Games 332 Puzzle Games 333 Racing Games 335 Rolling Games 335 The Others 336 App-pendix 2 Touchscreen Template 337 App-pendix 3 Gameplay Storyboarding Template 339 App-pendix 4 The Game Designer’s Checklist 341 Afterword 343 Index 345

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Book SynopsisEverything you need to know about developing hardware-accelerated 3D graphics with WebGL! As the newest technology for creating 3D graphics on the web, in both games, applications, and on regular websites, WebGL gives web developers the capability to produce eye-popping graphics.Table of ContentsIntroduction xxl CHAPTER 1: INTRODUCING WEBGL 1 The Basics of WebGL 1 So Why Is WebGL So Great? 2 Designing a Graphics API 3 An Immediate-Mode API 3 A Retained-Mode API 4 An Overview of Graphics Hardware 4 GPU 5 FrameBuffer 5 Texture Memory 7 Video Controller 7 Understanding the WebGL Graphics Pipeline 7 Vertex Shader 8 Primitive Assembly 12 Rasterization 14 Fragment Shader 14 Per Fragment Operations 17 Comparing WebGL to Other Graphics Technologies 19 OpenGL 19 OpenGL ES 2.0 21 Direct3D 23 HTML5 Canvas 24 Scalable Vector Graphics 28 VRML and X3D 30 Linear Algebra for 3D Graphics 31 Coordinate System 31 Points or Vertices 31 Vectors 32 Dot Product or Scalar Product 33 Cross Product 34 Homogeneous Coordinates 35 Matrices 35 Affine Transformations 38 Summary 44 CHAPTER 2: CREATING BASIC WEBGL EXAMPLES 45 Drawing a Triangle 46 Creating the WebGL Context 49 Creating the Vertex Shader and the Fragment Shader 51 Compiling the Shaders 52 Creating the Program Object and Linking the Shaders 53 Setting Up the Buffers 54 Drawing the Scene 56 Understanding the WebGL Coding Style 57 Debugging Your WebGL Application 58 Using Chrome Developer Tools 58 Using Firebug 65 WebGL Error Handling and Error Codes 67 WebGL Inspector 70 Troubleshooting WebGL 76 Using the DOM API to Load Your Shaders 78 Putting It Together in a Slightly More Advanced Example 80 Experimenting with Code 83 Summary 84 CHAPTER 3: DRAWING 85 WebGL Drawing Primitives and Drawing Methods 86 Primitives 86 Understanding the Importance of Winding Order 91 WebGL’s Drawing Methods 93 Typed Arrays 99 Buffer and View 100 Supported View Types 101 Exploring Different Ways to Draw 102 gl.drawArrays() and gl.TRIANGLES 103 gl.drawArrays() and gl.TRIANGLE_STRIP 105 gl.drawElements() and gl.TRIANGLES 106 gl.drawElements() and gl.TRIANGLE_STRIP 108 Conclusions of the Comparison 111 Pre-Transform Vertex Cache and Post-Transform Vertex Cache 111 Interleaving Your Vertex Data for Improved Performance 114 Using an Array of Structures 115 Using a Vertex Array or Constant Vertex Data 123 A Last Example to Wind Things Up 124 Some Things to Experiment With 134 Summary 134 CHAPTER 4: COMPACT JAVASCRIPT LIBRARIES AND TRANSFORMATIONS 137 Working with Matrices and Vectors in JavaScript 138 Sylvester 139 WebGL-mjs 142 glMatrix 146 Using Transformations 150 How Transformations Are Used 150 Understanding the Complete Transformation Pipeline 157 Getting Practical with Transformations 158 Setting Up Buffers with Object Coordinates 159 Creating Transformation Matrices with JavaScript and Uploading Them to the Shader 160 Uploading the Transformation Matrices to the Vertex Shader in the GPU 161 Calling Your Drawing Methods 162 Understanding the Importance of Transformation Order 162 Using a Grand, Fixed Coordinate System 163 Using a Moving, Local Coordinate System 165 Pushing and Popping Transformation Matrices 167 A Complete Example: Drawing Several Transformed Objects 171 Creating a Cube with WebGL 173 Organization of the View Transformation and the Model Transformation 175 Summary 176 CHAPTER 5: TEXTURING 177 Understanding Lost Context 178 Understanding the Setup Required to Handle Lost Context 179 Factors to Consider When Handling Lost Context 181 Introducing 2D Textures and Cubemap Textures 183 Loading Your Textures 185 Creating a WebGLTexture Object 185 Binding Your Texture 185 Loading the Image Data 186 Uploading the Texture to the GPU 187 Specifying Texture Parameters 189 Understanding the Complete Procedure of Loading a Texture 190 Defi ning Your Texture Coordinates 193 Using Your Textures in Shaders 195 Working with Texture Image Units 197 Working with Texture Filtering 198 Understanding Magnifi cation 199 Understanding Minifi cation 200 Understanding Mipmapping 200 Understanding Texture Coordinate Wrapping 203 Using the gl.REPEAT Wrap Mode 203 Using the gl.MIRRORED_REPEAT Wrap Mode 205 Using the gl.CLAMP_TO_EDGE Wrap Mode 206 A Complete Texture Example 207 Using Images for Your Textures 210 Downloading Free Textures 210 Basing Textures on Your Own Photos 211 Drawing Images 211 Buying Textures 211 Understanding Same-Origin Policy and Cross-Origin Resource Sharing 212 Understanding Same-Origin Policy for Images in General 212 Understanding Same-Origin Policy for Textures 214 Understanding Cross-Origin Resource Sharing 215 Summary 217 CHAPTER 6: ANIMATIONS AND USER INPUT 219 Animating the Scene 219 Using setInterval() and setTimeout() 221 Using requestAnimationFrame() 222 Compensating Movement for Different Frame Rates 225 Creating an FPS Counter to Measure the Smoothness of Your Animation 226 Understanding the Disadvantages of Using FPS as a Measurement 228 Event Handling for User Interaction 230 Basic Event Handling with DOM Level 0 231 Advanced Event Handling with DOM Level 2 232 Key Input 234 Mouse Input 239 Applying Your New Knowledge 240 Summary 246 CHAPTER 7: LIGHTING 249 Understanding Light 249 Working with a Local Lighting Model 250 Understanding the Phong Reflection Model 251 Ambient Reflection 252 Diff use Reflection 253 Specular Reflection 255 Understanding the Complete Equation and Shaders for the Phong Reflection Model 259 Using Lighting with Texturing 263 Understanding the JavaScript Code Needed for WebGL Lighting 267 Setting Up Buffers with Vertex Normals 268 Calculating and Uploading the Normal Matrix to the Shader 270 Uploading the Light Information to the Shader 270 Using Different Interpolation Techniques for Shading 271 Flat Shading 272 Gouraud Shading 273 Phong Shading 274 Understanding the Vectors That Must Be Normalized 278 Normalization in the Vertex Shader 278 Normalization in the Fragment Shader 279 Using Different Types of Lights 279 Directional Lights 280 Point Lights 280 Spot Lights 281 Understanding the Attenuation of Light 284 Understanding Light Mapping 288 Summary 289 CHAPTER 8: WEBGL PERFORMANCE OPTIMIZATIONS 291 WebGL under the Hood 292 Hardware that Powers WebGL 292 Key Software Components 294 WebGL Performance Optimizations 296 Avoiding a Typical Beginner’s Mistake 296 Locating the Bottleneck 298 General Performance Advice 302 Performance Advice for CPU-Limited WebGL 305 Performance Advice for Vertex-Limited WebGL 307 Performance Advice for Pixel-Limited WebGL 308 A Closer Look at Blending 310 Introducing Blending 310 Setting the Blending Functions 311 Understanding Drawing Order and the Depth Buffer 314 Drawing a Scene with Both Opaque and Semi-Transparent Objects 315 Changing the Default Operator for the Blend Equation 315 Using Premultiplied Alpha 316 Taking WebGL Further 317 Using WebGL Frameworks 317 Publishing to the Google Chrome Web Store 318 Using Additional Resources 318 Summary 319 Index 321

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Book SynopsisIt is 5 years since the publication of the seminal paper on “Design Science in Information Systems Research” by Hevner, March, Park, and Ram in MIS Quarterly and the initiation of the Information Technology and Systems department of the Communications of AIS.Table of Contentsto Design Science Research.- Design Science Research in Information Systems.- Design Science Research Frameworks.- On Design Theory.- Twelve Theses on Design Science Research in Information Systems.- A Science of Design for Software-Intensive Systems.- People and Design.- Software Design: Past and Present.- Evaluation.- The Use of Focus Groups in Design Science Research.- Design and Creativity.- A Design Language for Knowledge Management Systems (KMS).- On Integrating Action Research and Design Research.- Design Science in the Management Disciplines.- Design Science Research in Information Systems: A Critical Realist Approach.- Design of Emerging Digital Services: A Taxonomy.- Disseminating Design Science Research.- Design Science Research: Looking to the Future.

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Book Synopsis​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth.Table of ContentsUnderstanding E-commerce.- Technology of E-commerce.- Web Page Hosting.- Concepts in E-commerce.- Understanding E-commerce Product Design Strategy.- E-commerce and Online Auctions.- E-commerce Strategy.- Channels in E-commerce.- E-commerce Portal Design Strategy.- Future Trend - Social Commerce.- Drivers of Online-selling Diffusion: A Look at Organizational and Environmental Factors Through Time.

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Book SynopsisGet a complete introduction to Salt, the widely used Python-based configuration management and remote execution tool. This practical guide not only shows system administrators how to manage complex infrastructures with Salt, but also teaches developers how to use Salt to deploy and manage their applications.

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Book SynopsisWith cloud providers running servers and managing machine resources, companies now can focus solely on the application's business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.

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Book SynopsisThe series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.

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Book SynopsisThe series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.

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Book SynopsisThis book aims at exploring and illustrating the different ways in which hypermedia systems and tools are designed according to those aspects. The design and visualization schemes included in any system will be related to the variety of social and technical complexities confronted by researchers in social, communication, humanities, art and design.Table of ContentsIntroduction xi Everado REYES-GARCIA Chapter 1 From Controversies to Decision-making: Between Argumentation and Digital Writing 1 Orélie DESFRICHES-DORIA 1.1 Introduction 1 1.2 Hypertexts and hypermedia 2 1.3 From decision-making to the study of controversies 3 1.3.1 Definition of the concept of controversy 3 1.3.2 Shifts from one situation to another 4 1.3.3 Controversy representation 5 1.3.4 Some controversy visualization and processing tools and methods 7 1.4 Detailed presentation of Vesta Cosy 9 1.5 What is the content of argument representations? 14 1.5.1 Interactions between the two fields 14 1.5.2 Theoretical approaches to argumentation 16 1.5.3 Hypermedia structure in the process of decision-making map construction with Vesta Cosy 19 1.6 Application of Vesta Cosy to controversy analysis 22 1.6.1 Characterization of the nature of a controversy 22 1.6.2 Methodological principles of controversy analysis 24 1.7 New digital writings with hypermedia 29 1.7.1 Extension of reasoning and paradigm shift 29 1.7.2 Hyperlinked content according to diversified details 30 1.7.3 Disorientation, hypernarrativity and interactions 32 1.8 Conclusion 33 1.9 Bibliography 33 Chapter 2 Training in Digital Writing Through the Prism of Tropisms: Case Studies and Propositions 37 Stéphane CROZAT 2.1 Abstract 37 2.2 Introduction 37 2.3 Issue: theoretical approach to digital technology 38 2.3.1 The possibility of mechanizing intellectual labor 38 2.3.2 Digitization of content 39 2.3.3 “It has been manipulated”: manipulation as a source of digital content 40 2.3.4 “And it will be again”: manipulation as the future of digital content 41 2.4 Proposition: tropisms of digital content 42 2.4.1 The concept of tropism 42 2.4.2 Modeling of functional tendencies of digital objects 44 2.5 Detailed description of tropisms 44 2.5.1 Abstraction: it has been coded and will be recoded 44 2.5.2 Addressing: it has been found and will be found again 45 2.5.3 Connection: it has been transmitted and will be retransmitted 46 2.5.4 Duplication: it has been copied and will be recopied 46 2.5.5 Transformation: it has been changed and will be changed again 47 2.5.6 Universality: it has been integrated and will be reintegrated 48 2.6 Application: training in digital technology with tropisms 48 2.6.1 Training in ordinary digital writing at the University of Technology of Compiègne (UTC) 48 2.6.2 BABA strings (abstraction and polymorphism) 49 2.6.3 SolSys string (staging, hypertextualization) 51 2.6.4 BD string (transclusion, interactivity) 53 2.7 Case study: training in digital writing at IFCAM 53 2.7.1 Introduction to training 53 2.7.2 Training scenario 54 2.7.3 An experience to increase awareness using Etherpad 54 2.7.4 Understanding the properties of digital technology and theoretical content 56 2.7.5 Assignment 1: analysis of practices 57 2.7.6 Part two: reading and writing, second assignment (critical observation) 57 2.8 Perspective: a MOOC “digital literacy” project 57 2.8.1 Defining information literacy 58 2.8.2 Defining digital technology 59 2.8.3 Issue: teaching information literacy 60 2.8.4 Components of teaching information literacy 61 2.8.5 Format: challenges of MOOCs 62 2.8.6 Proposition: content and scenario for an information literacy MOOC 64 2.9 Conclusion and perspectives 65 2.10 Acknowledgments 66 2.11 Further reading 66 2.12 Bibliography 67 Chapter 3 Assessing the Design of Hypermedia Interfaces: Differing Perspectives 69 María Inés LAITANO 3.1 Man–machine interaction 70 3.1.1 Fundamental principles of usability 70 3.1.2 Cognitive engineering 72 3.2 Mediated human activity 74 3.2.1 The Danish school 76 3.2.2 Instrumental psychology 78 3.3 Meaningful systems 80 3.3.1 Semiotic engineering 80 3.3.2 The sociocognitive model 84 3.3.3 Semiotic scenario 86 3.4 Three mediations: three ways of evaluating a design? 88 3.5 Bibliography 93 Chapter 4 Experience Design: Explanation and Best Practices 97 Leslie MATTÉ GANET 4.1 Several problems identified with interface creation 99 4.1.1 Users have difficulty too often 99 4.1.2 An awkward practice of Experience Design 99 4.1.3 A difficult beginning for Experience Design in France 100 4.1.4 Ill-defined jobs 101 4.1.5 Manufacturers at various XD maturity levels 102 4.2 What is good Experience Design? 104 4.3 How does Experience Design work? 106 4.3.1 A method, more than a result 106 4.3.2 Focused on humans 106 4.3.3 A transformed project management 106 4.3.4 New professions 108 4.3.5 Tools in DX 112 4.4 A powerful approach 114 4.4.1 XD protects from rejection 114 4.4.2 XD allows for an important gain in time 115 4.4.3 The XD facilitator 116 4.5 Example of XD contribution to an industrial project 116 4.5.1 Creating the Website with classic project management 117 4.5.2 Revising the Website with XD project management 121 4.6 How can we improve the quality of Experience Design in the ICT industries? 124 4.6.1 A team with an open mind and empathy 124 4.6.2 Co-design, creativity, ideation and respiration 124 4.6.3 Good skills for appropriate responsibilities 125 4.6.4 The systematic presence of the user and going into the field 126 4.6.5 No longer using the term UX 126 4.7 Conclusion 127 4.8 Bibliography 128 Chapter 5 Designing Authoring Software Environments for the Interactive Arts: An Overview of Mobilizing.js 131 Dominique CUNIN 5.1 Research context: artistic practices of interactivity 131 5.1.1 Art and technique in the face of the digital 131 5.1.2 An idea: an authoring software environment 134 5.2 Computer graphics, game engine, art engine? 138 5.2.1 Reusability 138 5.2.2 Game engine: when the metaphor and the objective design the tool 140 5.2.3 Programming for the interactive arts: toward complexity 142 5.2.4 Art engine, an authoring environment possibility? 149 5.3 Mobilizing.js: an attempt at a multi-paradigmatic authoring software environment 151 5.3.1 Artistic technical conduct and critical technical practice 153 5.3.2 An engine with many speeds 157 5.4 Structure and results of Mobilizing.js 163 5.4.1 Overview of a technical sequence 163 5.4.2 Constructing interactivities 170 5.4.3 Interactive, immersive and collaborative system 175 5.5 Conclusion 181 5.6 Bibliography 182 Chapter 6 Clues Anomalies Understanding Detecting Underlying Assumptions and Expected Practices in the Digital Humanities through the AIME Project 185 Donato RICCI, Robin DE MOURAT, Christophe LECLERCQ and Bruno LATOUR 6.1 Abstract 185 6.2 Introduction 186 6.3 AIME and its digital humanities set-up 188 6.4 Methodology: multiplying listening devices 193 6.5 Anomaly family #1: displacements in acknowledging on-and-offline practices ecosystem 197 6.6 Anomaly family #2: interface-driven methodology and its encounters with scholarly publics 199 6.7 Anomaly family #3: the shock of collaboration’s ethoses 204 6.8 Qualifying anomalies for a better understanding of Digital Humanities projects 207 6.9 Bibliography 209 List of Authors 213 Index 215

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Book SynopsisThe third edition of Tourism Information Technology provides a contemporary update on the complexities of using information technology in the tourism industry. It examines IT applications in all sectors including airlines, travel intermediaries, accommodation, food service, destinations, attractions, events and entertainment. Fully updated throughout and organised around the stages of the visitor journey, the book reviews how tourists are using technologies to support decision-making before their trip, during their travels and at the destination. The book: - Provides comprehensive and up to date coverage of all key topics in tourism information technologies. - Covers new areas, such as augmented and virtual reality, robotics, smart destinations, disruptive innovation and the collaborative economy, crowd-sourcing for sustainability, online reputation management and big data. - Incorporates a wealth of pedagogic features to aid student learning, including key models and concepts, research and industry insights, case studies, key terms, discussion questions, and links to useful websites. Accompanied by online resources, this book provides a comprehensive and learning-focused text for students of tourism and related subjects.Table of ContentsPART I: Understanding Tourism Information Technology 1: Introduction to Tourism and Information Technology 2: The Digital Tourism Landscape PART II: Looking and Booking 3: Travel Intermediaries and Information Technology 4: The Internet and the Tourist 5: Social Media and Tourism PART III: Traveling 6: Mobilities and Information Technology 7: Aviation and Information Technology 8: Surface Transport and Information Technology PART IV: Staying And Playing 9: Hospitality Information Systems 10: Technology-enabled Visitor Experiences 11: Destination Management and Smart Destinations PART V: Issues And Trends 12: Sustainable Tourism and Information Technology 13: The Future of Information Technology and Tourism

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Book SynopsisWhat is the influence of software systems on an organization's ability to create knowledge, learn, adapt to change and innovate? While organization, management and innovation theory has primarily focused on the impact of software on measures such as process efficiency and speed, this book argues that integrated systems and digital technologies offer even more fundamental implications for the innovating firm. A series of detailed case studies provides the foundations for a deeper theoretical and empirical understanding of the nature and dynamics of software, knowledge, organization and their complex interactions. The author demonstrates how software induces the radical reconfiguration of organizational knowledge and learning dynamics, including an organization's ability to create, store, transfer and integrate knowledge across heterogeneous organizational boundaries. The book provides a unique perspective on what organizations know and how they use that knowledge to build, sustain and renew their capabilities. This includes understanding how information systems can be designed or implemented in such a way as to favour innovation and adaptation, and to prevent unfavourable patterns of behaviour.The book represents an in-depth and systematic attempt to characterize the fundamental influence of software over the processes that underpin an organization's ability to create and manage knowledge. Scholars and students interested in innovation, technological change and information technology, and managers in software and other hi-tech industries will find this an insightful and highly rewarding study.Trade Review'This is a very insightful book concerning a very real and important issue: how do software and organizations relate to each other? The volume is unique in its well-thought out and advanced approach, and I have no doubt it will open the eyes of many scholars.' -- Hariolf Grupp, Fraunhofer Institute for Systems and Innovation Research and Karlsruhe Technical University, GermanyTable of ContentsContents: Preface 1. Introduction 2. Knowledge in Theory and in Practice 3. Distributed Knowledge, Situated Action: The Role of Qualitative Analysis and Participant-Observation in Organizational Knowledge Research 4. Integrated Software Systems: The Technology and its Embedded Assumptions 5. The Influence of Integrated Systems on Organizational Memory 6. Bridging Formal Tools with Informal Practices: How Organizations Balance Flexibility and Control 7. Crafting the Virtual Prototype: How Firms Integrate Knowledge and Capabilities Within and Across Organizational Boundaries 8. Conclusions References Index

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Book SynopsisThere has been continued debate in Europe over whether to change the patentability of software - or so-called computer-implemented inventions - and to follow the US model of allowing software patents.The European debate has shown a severe lack of empirical analysis on the possible impact of software patenting that goes beyond interest-driven rhetoric. This book seeks to address this shortcoming by taking a two-fold approach. Firstly, a survey of German software companies provides a representative overview of both general strategies to protect inventions and opinions regarding the future IPR regime in the context of innovation strategies - including the importance and use of Open Source software. Secondly, a series of case studies illustrate the varying impacts that patents and other protection strategies can have in specific contexts. This book provides both a theoretical overview of the economic impacts and policy implications of software patents, and an empirical foundation upon which to base a discussion on how to shape the intellectual property regime for software. Thus, this volume will be of interest to industrial economists and students, as well as legal scientists and analysts and students of governance in innovation systems. It will also appeal to all policy stakeholders dealing with IPR issues and/or software developing industries.Trade Review'. . . this book contains an interesting empirical study of the state of opinion in the European software industry. . .' -- David Rogers, European Intellectual Property ReviewTable of ContentsContents: Foreword 1. Introduction 2. Literature Survey 3. Empirical Investigation: A Representative Survey 4. Context-Specific In-Depth Analysis: Case Studies 5. Qualifying the Survey Results by Means of the Case Studies 6. Summary and Conclusions Bibliography Index

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Book SynopsisDigital technologies are currently dramatically changing healthcare. This book introduces the reader to the latest digital innovations in healthcare in fields such as artificial intelligence, points out new ways in patient care and describes the limits of its application. It also offers essential guidance in the form of structured and authoritative contributions by domain experts spanning from artificial intelligence to hospital management to radiology to dentistry to preventive medicine. Furthermore, it shares ideas and experiences of industry veterans, in particular on how IT-driven solutions could solve long-standing issues in the fields of healthcare and hospitalization. It also gives advice on what new digital technologies to consider for becoming a healthcare market leader in the future. Taken together, these contributions provide a “road map” to guide decision makers, physicians, academics, industry representatives and other interested readers to understand the large impact of digital technology on healthcare today and its enormous potential for future development.Table of ContentsArtificial Intelligence in Healthcare: Foundations, Opportunities and Challenges.- Artificial Intelligence in Healthcare: Foundations, Opportunities and Challenges.- Opening the Door for Digital Transformation in Hospitals – IT Expert’s Point of View.- Digitalization from the Patients’ Perspective.- Digitalization in Rehabilitation.- Digitalization in Dentistry.- Changes in Medical Processes Due to Digitalization: Examples from Telemedicine.- COVID-19 as a Driver for Digital Transformation in Healthcare.- The Radiology of the Future.- Digitalization of Pneumological Care in the Outpatient Sector - An Inventory.- Computer Vision Applications in Medical Diagnostics.- Home 4.0 – With Sensor Data from Everyday Life to Health and Care Prognosis.- Digital Healthcare Applications: Marketing, Sales and Communication.- Ethical Implications of Digitalization in Healthcare.- Efficiently Delivering Healthcare by Repurposing Solution Principles from Industrial Condition Monitoring: A Meta-Analysis.- Microservices as Architectural Style.- Value Added Process Design for Digital Transformation in Hospitals and Medical Networks.- Digital Pharmacy.- Smart Contracts in Healthcare.- Evaluating the Ethical Aspects of Online Counseling.- Machine Learning as Key Technology of AI: Automated Workforce Planning.- Six Areas of Healthcare Where AI is Effectively Saving Lives Today.

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Book SynopsisThis open access book provides an overview of the dissertations of the eleven nominees for the Ernst Denert Award for Software Engineering in 2020. The prize, kindly sponsored by the Gerlind & Ernst Denert Stiftung, is awarded for excellent work within the discipline of Software Engineering, which includes methods, tools and procedures for better and efficient development of high quality software. An essential requirement for the nominated work is its applicability and usability in industrial practice.The book contains eleven papers that describe the works by Jonathan Brachthäuser (EPFL Lausanne) entitled What You See Is What You Get: Practical Effect Handlers in Capability-Passing Style, Mojdeh Golagha’s (Fortiss, Munich) thesis How to Effectively Reduce Failure Analysis Time?, Nikolay Harutyunyan’s (FAU Erlangen-Nürnberg) work on Open Source Software Governance, Dominic Henze’s (TU Munich) research about Dynamically Scalable Fog Architectures, Anne Hess’s (Fraunhofer IESE, Kaiserslautern) work on Crossing Disciplinary Borders to Improve Requirements Communication, Istvan Koren’s (RWTH Aachen U) thesis DevOpsUse: A Community-Oriented Methodology for Societal Software Engineering, Yannic Noller’s (NU Singapore) work on Hybrid Differential Software Testing, Dominic Steinhofel’s (TU Darmstadt) thesis entitled Ever Change a Running System: Structured Software Reengineering Using Automatically Proven-Correct Transformation Rules, Peter Wägemann’s (FAU Erlangen-Nürnberg) work Static Worst-Case Analyses and Their Validation Techniques for Safety-Critical Systems, Michael von Wenckstern’s (RWTH Aachen U) research on Improving the Model-Based Systems Engineering Process, and Franz Zieris’s (FU Berlin) thesis on Understanding How Pair Programming Actually Works in Industry: Mechanisms, Patterns, and Dynamics – which actually won the award. The chapters describe key findings of the respective works, show their relevance and applicability to practice and industrial software engineering projects, and provide additional information and findings that have only been discovered afterwards, e.g. when applying the results in industry. This way, the book is not only interesting to other researchers, but also to industrial software professionals who would like to learn about the application of state-of-the-art methods in their daily work.Table of ContentsErnst Denert Software Engineering Award 2020.- Some Patterns of Convincing Software Engineering Research, or: How to Win the Ernst Denert Software Engineering Award 2020.- What You See Is What You Get: Practical Effect Handlers in Capability-Passing Style.- How to Effectively Reduce Failure Analysis Time?.- Open Source Software Governance: Distilling and Applying Industry Best Practices.- Dynamically Scalable Fog Architectures.- Crossing Disciplinary Borders to Improve Requirements Communication.- DevOps Use: A Community-Oriented Methodology for Societal Software Engineering.- Hybrid Differential Software Testing.- Ever Change a Running System: Structured Software Reengineering Using Automatically Proven-Correct Transformation Rules.- Static Worst-Case Analyses and Their Validation Techniques for Safety-Critical Systems.- Improving the Model-Based Systems Engineering Process.- Understanding How Pair Programming Actually Works in Industry: Mechanisms, Patterns, and Dynamics.

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Book SynopsisModern business relies heavily on information technology. This book presents a new “always-on” business model for the digital age, one based on three interrelated components: a business model, an IT capability model, and an always-on information system model. In addition, it develops an implementation framework for the new model by identifying business-critical continuous computing information technologies as implementation drivers.The model proposed in this book reveals the critical role of business continuity management in ensuring business continuity even when operations are unaffected by any disasters. Using empirical survey data, PLS-SEM (Partial Least Squares - Structural Equation Modeling) combined with mediation analysis are used to test the model and hypotheses.The book is chiefly intended for students in Business Administration/Management degree programs and business leaders whose work involves addressing issues such as organizational performance, IT capability, enterprise information systems, IT management, business continuity management, disaster recovery management, risk management, IT auditing, and compliance. Table of ContentsChapter 1. Introduction.- Chapter 2. Digital Age, Business Strategy, and Firm's Performance.- Chapter 3. Downtime and Business Continuity.- Chapter 4. BCM, DRP - Compliance in Practice.- Chapter 5. Master Contingency Plans and IT Auditing.- Chapter 6. Business Models and The Concept of Always-On Business.- Chapter 7. BCM, BCP, IT Capability: A Framework for Always-On Business.- Chapter 8. Empirical Research.

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Book SynopsisHow to develop best-practice strategy in a business or a multinational organization? Putting in value the strategy function and embracing a Holistic Management Strategy (HMS) framework would unleash performance for any business or organization. This book illustrates with real examples the HMS, a set of 10 frameworks that provide best-practice to design and develop strategy. The HMS approach is differentiated between business unit and divisional/group level, and adapted to situations of existing versus new markets and organic versus inorganic growth. The book introduces new topics such as integrated business model and strategy & financial plan at business unit level, attractiveness and opportunities framework for new markets linked with inorganic growth, portfolio horizons connected with the company’s market valuation gap, leadership & management excellence programme (e.g. THICOSIV), company excellence based on a balanced designed and considered decision-making, the future of the strategy function, and seven meta-architectural levers to successfully address digital disruption.Table of ContentsChapter 1. Introduction.- Part 1. About ‘Strategy for Existing Geography and Business’.- Chapter 2. Business Model.- Chapter 3. Strategy Blueprint.- Chapter 4. Financial Plan.- Part 2. About ‘Strategy for New Geographies and/or Businesses’ and ‘Strategy & Execution’.- Chapter 5. Attractiveness & Opportunities.- Chapter 6. Inorganic Growth Process.- Chapter 7. Strategy & Execution.- Part 3. About ‘Portfolio Strategy’.- Chapter 8. Portfolio Value Gap.- Chapter 9. Portfolio Horizons.- Part 4. About ‘Company & Leadership Excellence’.- Chapter 10. Leadership & Management Excellence.- Chapter 11. Company Excellence.- Part 5. About ‘The Future of Strategy’.- Chapter 12. Strategy Function.- Chapter 13. Digital Transformation.- Chapter 14. Epilogue.

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Book SynopsisHow to develop best-practice strategy in a business or a multinational organization? Putting in value the strategy function and embracing a Holistic Management Strategy (HMS) framework would unleash performance for any business or organization. This book illustrates with real examples the HMS, a set of 10 frameworks that provide best-practice to design and develop strategy. The HMS approach is differentiated between business unit and divisional/group level, and adapted to situations of existing versus new markets and organic versus inorganic growth. The book introduces new topics such as integrated business model and strategy & financial plan at business unit level, attractiveness and opportunities framework for new markets linked with inorganic growth, portfolio horizons connected with the company’s market valuation gap, leadership & management excellence programme (e.g. THICOSIV), company excellence based on a balanced designed and considered decision-making, the future of the strategy function, and seven meta-architectural levers to successfully address digital disruption.Table of ContentsChapter 1. Introduction.- Part 1. About ‘Strategy for Existing Geography and Business’.- Chapter 2. Business Model.- Chapter 3. Strategy Blueprint.- Chapter 4. Financial Plan.- Part 2. About ‘Strategy for New Geographies and/or Businesses’ and ‘Strategy & Execution’.- Chapter 5. Attractiveness & Opportunities.- Chapter 6. Inorganic Growth Process.- Chapter 7. Strategy & Execution.- Part 3. About ‘Portfolio Strategy’.- Chapter 8. Portfolio Value Gap.- Chapter 9. Portfolio Horizons.- Part 4. About ‘Company & Leadership Excellence’.- Chapter 10. Leadership & Management Excellence.- Chapter 11. Company Excellence.- Part 5. About ‘The Future of Strategy’.- Chapter 12. Strategy Function.- Chapter 13. Digital Transformation.- Chapter 14. Epilogue.

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Book SynopsisThe book delivers an elaboration of multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. In this book, we continue to provide a critical look at the information management in business organizations by exploring knowledge aspects from theoretical and practical perspectives. The compilation of chapters presented in this book helps to define the range of activities, identify areas for future research, and draw practical conclusions. The variety of industrial sectors examined supports continuous gaining and usage of an efficient business analysis in organizations. Table of ContentsBrand Marketing of the Police - The Dangers of a Subculture within the Police's Official Guiding Culture.- Centre of Focused Social Security, public administration instrument of Slovak Republic for an effective social crisis management.- Where are E-lympics?.- The context of the Circular Economy Model implementation, based on indicators of the European Union in/for Ukraine by means of fuzzy methods.- Design Criteria of Public E-Services.- Definition of Embedded Flexible Elements in Working Form and Working Contracts.

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Book SynopsisTechnological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.Table of ContentsChapter 1. Introduction.- Chapter 2. Strategic Innovation Driven by Digital Transformation.- Chapter 3. Industry 4.0 and its Digital Paradigms.- Chapter 4. Industry 4.0 and the Emergent Business Models.- Chapter 5. The Integration of Digital Business Models: the Amazon Case Study.- Chapter 6. Conclusions.

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Book SynopsisThis book demonstrates the benefits and drawbacks of using digital technology in preparing online lessons and educational activities. The experience of the last year has shown that online education is becoming a priority. This gave impetus to the creation and development of a new generation of equipment for online education. The book presents latest innovative technologies and modern digital trends in the field of information and communication technology for online education, including personalized learning, neuro-information systems, mobile learning, development of software and hardware infrastructure, and the use of robotics technologies. Key technologies for managing risk and cybersecurity, such as cloud and data security, identity and trust convolution systems, computational intelligence and cryptography techniques, malware and attack analysis, are presented. The topic of cybersecurity is one of the most important issues in the modern digital world. The results of the research on recently developed software, decision support systems, and cloud technologies make a huge contribution to the development of information technology in the context of digitalization.This book is of interest for developers of applications and programs for online education, for software and hardware suppliers who want to keep up with the times and reorient existing IT systems for use in online education.Table of ContentsComparative Study between Traditional Learning and Digital Learning amid the COVID 19 Pandemic.- The Use of Information and Communication Technologies in the Activities of Higher Educational Institutions of Ukraine.- Using Polar Indexes to Improve the Efficiency of Regional Management.- Performance Management of Wicker Industry Employees to Drive Local Economy in Southern Thailand.

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Book SynopsisThis book highlights the latest research articles presented at the Third Digital Marketing & eCommerce Conference in June 2022. Papers include a varied set of digital marketing and eCommerce-related topics such as user psychology and behavior in social commerce, influencer marketing in social commerce, social media monetization strategies and social commerce characteristics. The papers also extends to the topics of branding, business models, user and data privacy, social video marketing and commerce, among others.

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Book SynopsisArtificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence.Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence.The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsForeword.- 1.Artificial Intelligence - Management Challenges and Responsibility.- 2.Artificial Intelligence: Companion to a New Human "Measure"? - a brief outlook.- 3.AI-Governance for a prosperous future.- 4.Governance of Collaborative AI Development Strategies.- 5.Responsible AI Adoption through Private Sector Governance.- 6.Mastering Trustful Artificial Intelligence.- 7.echnology serves people – Democratizing Analytics and AI in the BMW production system.- 8.Sustainability and artificial intelligence in the context of a corporate startup program.- 9.Exploring AI with Purpose.- 10.Developing Responsible AI Business model.- 11.ESG Fingerprint - how Big Data & Artificial Intelligence can support investors, companies and stakeholders?.- 12.It’s only a bot! How adversarial chatbots can be a vehicle to teach responsible AI.- 13.Concerted actions to integrate Corporate Social Responsibility with AI in business: two recommendations on leadership and public policy.- 14.AI and Leadership: Automation and the change of management tasks and processes.- 15.Achieving csr with artificially intelligent nudging

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Book SynopsisThe hunt for new forms of value generation is shaping the future of economic and financial interactions, leading to the emergence of innovative business models and technological enablers. Other than challenging our time and space limits, such technological advancements, in some cases, have allowed the generation of value at nearly zero marginal cost. Inevitably, emergent tech solutions are fundamental game changers in digital and conventional finance. In this regard, the book fleshes out the core developments and trending fintech 2.0 solutions that pause challenges and bring opportunities for businesses and economies. It comprises nine main chapters with collective insights and interdisciplinary perspectives covering the business, tech, and regulatory layers of financial technologies and decentralized finance. Besides, the book illustrates how to leverage these state-of-the-art technologies for the evolving digital and decentralized finance world. The book targets a broad audience of researchers, academia, industry professionals, fintech enthusiasts, and the general business audience with timely data and up-to-date cases.Table of ContentsPART I Financial Technologies: Theory and Practice PART II Towards a Distributed Network Economy: Decentralized Finance PART III Fintech and Defi- Issues, Policy, and Reg-ulatory Insights

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Book SynopsisThis book presents select contributions of the International Scientific-Practical Conference 2021 (ISCP 2021) organized by East European University (Georgia) and Fresenius University of Applied Sciences (Germany). It discusses the challenges of digital transformation during and after the pandemic and introduces advanced research and solutions from both academic and professional’s aspects. The topics covered include digitalization in social and corporate responsibility, e-commerce and digital entrepreneurship, and digitalization in education.The book is an interesting read for researchers and professionals interested in digital management.

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Book SynopsisData has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields of action: Which structures need to be created? Which systems and processes have proven beneficial? How can the quality of the data be ensured and what requirements exist for a data-driven organization in the areas of governance and communication? And last but not least: How can employees be brought along on the journey and what implications does the data-driven organization have for our corporate culture? The book presents an orientation and action framework for the strategic and operational design of a data-driven organization and is valuable for managers who are involved in data management in companies and organizations.Table of ContentsForeword1 Background and drivers of the data-driven organization 2 Characteristics of the data-driven organization 3 Challenges and barriers of the data-driven organization 4 Process Mode for Data Management 5 Process model for implementing the data-driven organization 6 Closing words

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Book SynopsisMost existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.Table of ContentsAn Introduction to Data Dominance.- The Digital Data-Centric Enterprise: Case Studies.- The Product Strategy .- The Data Strategy .- Data: Organizing the Data Ecosystem.- Process: Building Digital Data-Centric Products.- Culture: Friction in Scaling the Product Portfolio .- Alignment: Data Strategy Management and Leadership.- Effects of Wireless Communications and IoT on Data Aggregation.- Blockchain Data Architecture.- Transforming Legacy Systems to Data Platforms.- Conclusion.

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Book SynopsisThe two-volume set LNBIP 480 and 481 constitutes the refereed proceedings of the 22nd Wuhan International Conference, WHICEB 2023, held in Wuhan, China, in May 2023. The 61 full papers presented in these proceedings were carefully reviewed and selected from 350 submissions. They focus on innovative research findings, solutions, and approaches to make the Internet a productive and efficient vehicle for global commerce. This year’s topic is “Digital Empowerment for an Intelligent Future“.Table of ContentsBibliometric Analysis on the Research Hotspots of Recommender Systems.- Research on Knowledge Sharing Efficiency Evaluation of Open Innovation Community: A case of Xiaomi Community.- Stock Price Overvaluation and Digital Transformation Investment of Listed SMEs: Impact Analysis and Path Testing.- A Tripartite View on Performance Matrices of Live Commerce.- Synergizes HeXie management framework with program management approach for Industry 4.0 transformation.- Big Data-Based Recommendation Algorithm in E-commerce Personalized Marketing.- How digital change and innovation in the workplace affect front-line employee retention: a cross-sectional study based on the aged care industry.- A Case Study of Collaborative Learning within a Digitalization Learning Environment.- A Study on the Influence Mechanism of Self-sacrificial Leadership on Employee Engagement-Based on Dual Identity Perspective.- Impact of Data Breach on IT Investment: Moderating Role of Buyer-supplier Relationship.- The Influence of Benefit Appeals in CSR Communication on Consumers' Willingness to Co-creation.- The influence of marketing stimuli and contextual factors on consumers' intention to make impulse purchases in live e-commerce .- How Older Adults’ Moments Sharing in SNS Contributes to Their Subjective Well-being.- Video Going Viral: Subjective Emotional Clash Vs. Objective Emotional Assertion.- Understanding First-aid Learning Intention through Using Social Media: Perceptions from External Emergency Events and Individual Internal Changes.- Impacts of Analyst Reports’ Descriptions of Corporate Innovative Behavior on Stock Price Synchronicity.- Understanding Users’ Ask Intention on Paid Q&A Platform from the Perspective of Impression Management.- How do we trust AI service? Exploring the trust mechanism in AI service.- A Study into Sponsorship Disclosure on Video Sharing Platforms: Evidence from Bilibili.- How Restaurant Attributes Affect Customer Satisfaction: A Study Based on Sentiment Analysis, Neural Network Modelling and Kano Model Classification.- A Method for Recommending Resources Across Virtual Academic Communities based on Knowledge Graph and Prompt Learning.- How Industrial Supportive Policies Drive the Corporation Attention Shifting: A Case Study of BYD from New Energy Vehicles Industry.- Optimal Platform Intrusion and Supplier Selection Strategy Oriented by Fresh Agriculture Product Supply Chains of Different Power-Structure.- Investment Risk Analysis and Countermeasure in Five Central Asian Countries for Chinese Investors.- How Knowledge Characteristics and Platform Characteristics Drive Users’ Purchase Intention of Online Paid Health Knowledge.- An Empirical Study on the Impact of Government Microblogs on Online Engagements during the Covid-19 Outbreak.- The Concept and Connotation of Enterprise Digital Transformation.- Research Hotspots and Frontier Analysis of Digital Marketing in China.- Study on Spatio-temporal Topic-sentiment Synergy Model and Visualization of Online Public Opinion on Public Health Emergency.- The Impact of Blockchain on the Credit Risk of Supply Chain Finance: A Tripartite Evolutionary Game Analysis.

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Book SynopsisThis open access book constitutes the proceedings of the 24th International Conference on Agile Software Development, XP 2023, which took place in Amsterdam, The Netherlands, during June 13-16, 2023. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends.  XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Whole Team Sustainability”. The 11 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 40 submissions. They focus on agile practices and agile in the large.Table of ContentsAgile Practices.- Integrating Issue Management Systems of Independently Developed Microservices.- A novel technique to assess Agile systems for stability.- Overcoming Challenges of Virtual Scrum Teams: Lessons Learned Through an Action Research Study.- Waste Self-Reporting for Software Development Productivity Improvement.- A Lean Approach of Managing Technical Debt in Agile Software Projects – A proposal and empirical evaluation.- An Empirical Study about the Instability and Uncertainty of Non-functional Requirements.- Agile in the Large.- Striving for Freedom in a Large-scale Agile Environment with an Entrepreneurial Mindset of a Product Owner.- Sustaining agility: organizational change, factors and theoretical lenses.- The Role of Responsiveness to Change in Large Onboarding Campaigns.- Organisational conflicts in the adoption of continuous software engineering.- Agile Interdisciplinary Product Teams: Overcoming Juridical Hurdles in the Early Phase of Public Sector Datafication.- Short Paper.- Real-life Water-Scrum-Fall: Insights from Large Companies in Czech Republic.

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Book SynopsisThis book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development. Table of ContentsBPMDS 2023.- Just Tell Me: Prompt Engineering in Business Process Management.- Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective.- Modelling and Execution of Data-Driven Processes with JSON-Nets.- Aligning object-centric event logs with data-centric conceptual models.- From Network Traffic Data to a business-level Event Log.- A Novel Decision Mining Method Considering Multiple Model Paths.- Modeling, Executing and Monitoring IoT-Driven Business Rules.- A Generic Approach towards Location-aware Business Process Execution.- Time-aware Contract Model for Legal Smart Contracts.- Efficient Computation of Behavioral Changes in Declarative Process Models Nicolai Schützenmeier.- Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in Business Processes.- EMMSAD 2023.- Principles of universal conceptual modeling.- Supporting Method Creation, Adaptation and Execution with a Low-code Approach.- IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing.- A First Validation of the Enterprise Architecture Debts Concept.- Modeling heterogeneous IT infrastructures: a collaborative component-oriented approach.- Exploring Capability Mapping as a Tool for Digital Transformation: insights from a Case Study.- TEC-MAP: a Taxonomy of Evaluation Criteria for Multi-Modeling Approaches.- Integrating Physical, Digital, and Virtual Modeling Environments in a Collaborative Design Thinking Tool.- Opportunities in Robotic Process Automation by and for Model-Driven Software Engineering.- A Requirements-Driven Framework for Automatic Data Visualization.- Comparing different visualizations for feedback on test execution in a Model-Driven Engineering environment.- Unblocking Inductive Miner - While Preserving Desirable Properties.

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Book SynopsisThis book is a revised version of the PhD dissertation written by the author at the Free University of Bozen-Bolzano in Italy. It presents a new approach to safety verification of a particular class of infinite-state systems, called Data-Aware Processes (DAPs). To do so, the developed technical machinery requires to devise novel results for uniform interpolation and its combination in the context of automated reasoning. These results are then applied to the analysis of concrete business processes enriched with real data. In 2022, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management. Table of ContentsIntroduction.- 1.1 Overview.- 1.1.1 Finite-State Model Checking.- 1.1.2 Verification of Data-Aware Processes.- 1.1.3 Infinite-state Model Checking: from Parameterized Systems to SMT Verification.- 1.1.4 Main Goal of the Book.- 1.2 Related Literature.- 1.2.1 Formal Models for Data-Aware (Business) Processes.- 1.2.2 Verification of Data-Aware Processes.- 1.2.3 Model Checking for Infinite-State Systems using SMT-based Techniques.- 1.3 Contributions of the Book.- 1.3.1 Contributions of the First Part.- 1.3.2 Contributions of the Second Part.- 1.3.3 Contributions of the Third Part.- Part I Foundations of SMT-based Safety Verification of Artifact Systems.- 2 Preliminaries from Model Theory and Logic.- 3 Array-Based Artifact Systems: General Framework.- 4 Safety Verification of Artifact Systems.- 5 Decidability Results via Termination of the Verification Machinery.- 6. Preliminaries For (Uniform) Interpolation.- 7 Uniform Interpolation for Database Theories.- 8 Combination of Uniform Interpolants for DAPs Verification.- 9 MCMT: a Concrete Model Checker for DAPs.- 10 Business Process Management and Petri Nets: Preliminaries.- 11 DABs: a Theoretical Framework for Data-Aware BPMN.- 12 delta-BPMN: the operational and implemented counterpart of DABs.- 13 Catalog Object-Aware Nets.- 14 Conclusions.- References.

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Book SynopsisThis book aims to improve the understanding of smart service innovations. It contributes to evidence-based knowledge about service systems engineering and its embedding in service ecosystems, in particular how existing reference process models can be extended by considering actors, roles, activities and methods. At the same time, it aims to stimulate discussions on how methods from different disciplines can be used and combined for the development of various aspects of Smart Service Systems. Thus, the book offers support for practitioners to better organize and execute SSI projects and to develop internal competencies.Table of ContentsIntroduction.- Conceptual Background.- Current Approaches to the Development of Service Systems.- Research Approach.- Summary of Findings.- Discussion.- Conclusion.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis.- Keynotes..- Digital Humanities on the Semantic Web: from Infrastructure to Practical Applications, AI-based Knowledge Discovery, and Web of Wisdom..- Digital Story Experiences for Affective Engagement..- Large Language Models..- Data Discovery using LLMs - A Study of Data User Behaviour..- Generating Synthetic Data with Large Language Models for Low-Resource Sentence Retrieval..- Organising Knowledge from Text: Prompt-Based Triple Extraction and Graph Enrichment with Large Language Models..- LLM-Based Dependency Tracking for Short Event Descriptions..- SciTableQA: A Question-Answering Benchmark for Complex Scientific Tables..- Scholarly Issues..- From raw affiliations to organization identifiers..- How Retracted Article Persists on YouTube: Retraction Severity, Visibility, and Disclosure..- Neuro-symbolic Federated Research Artifact Search..- The Claims Network: Collecting Research, Education, Impact, and Leadership Claims on the Decentralized Web..- Citation Management..- Semantically Orthogonal Framework for Citation Classification: Disentangling Intent and Content..- Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs..- Citation impact and research persistence: The power of positive reinforcement..- Digital Archives..- HistoryCLIP: Adaptive Multi-Modal Retrieval of Imbalanced Long-Tailed Archival Data..- Studying Model Design Biases in LLMs for Multilingual Historical Newspaper Extraction; The Messina Earthquake Case Study..- Human-Centred Design for Digital Ecosystems: Actors, Roles and Responsibilities..- Real-time prediction of Wikipedia articles’ quality..- What Makes a User Click on a News Item? Understanding News Values of Visual Content in News Recommendation..- Digital Humanities and Cultural Heritage..- Blowin' in the Wind: The Challenges of Archiving Social Media for Digital Humanities Research..- Exploring Semantic and Motion-Based Documentation for Intangible Cultural Heritage Integration..- The Text+ Registry: Federating Research Data Catalogues for the Digital Humanities..- A Comparative Analysis of Support Techniques for Assessing the Quality of Systematic Literature Reviews..- Knowledge Graphs..- An end-to-end pipeline for knowledge graph population from 19th-century land registry digitised tables..- EUR-Lex-Triples: A Legal Relation Extraction Dataset from European Legislation..- Heterogeneous Graph Representation for Dataset Link Prediction on Dynamic and Sparse Scholarly Graphs..- ExtracTable: Human-in-the-Loop Transformation of Scientific Corpora into Structured Knowledge.

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