Databases / Data management Books

Book SynopsisPublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Best Practices for Oracle WebLogic Server 12c Configuration and AdministrationMaintain a high-performance enterprise application framework using the detailed information in this authoritative resource. Through expert instruction and real-world examples, Oracle WebLogic Server 12c Administration Handbook fully explains the latest management tools and techniques. Learn how to work from the Oracle WebLogic Server Administration Console or command line, configure servers and clusters, deploy applications, and optimize application performance. Tuning, troubleshooting, and load balancing are thoroughly covered in this Oracle Press guide. Install Oracle WebLogic Server 12c or perform an upgrade ManaTable of Contents1.Installing WebLogic Server and using the Management Tools2.Administering WebLogic Server Instances3.Creating and Configuring WebLogic Server Domains4.Configuring Naming, Connections, Transactions, and Messaging5.Configuring the WebLogic Server Environment6.Monitoring and Troubleshooting WebLogic Server7.Working with WebLogic Server Clusters8.Understanding WebLogic Server Application Deployment9.Managing WebLogic Server Security10.WebLogic Server Performance Tuning11.Middleware management with Enterprise Manager 12c Cloud Control12.WebLogic Performance Monitoring and JVM Tuning Index

Read more less

Book SynopsisAPCOM is a peer-reviewed forum for industrial and research communities working in the mineral industry to share expertise on the application of computer and operations research technology. Recognized since the 1960s as the world's premier conference in the field, APCOM features an impressive range of topics from geostatistics to data warehousing. APCOM 2005 builds on this reputation, showcasing the latest industrial applications and emerging technologies, focusing particularly on mobilizing the inherent value in largely under-used data and information systems, and how these data systems cab be analyzed for real-time or process-based improvements.

Read more less

Book SynopsisJulie C. Meloni is a technical consultant who has been developing web-based applications since the Web first saw the light of day. She has authored numerous books and articles on web-based programming and scripting languages and database topics, and you can find translations of her work in 18 different languages.  Table of ContentsPart I: Web Application Basics CHAPTER 1: Understanding How the Web Works A Brief History of HTML and the World Wide Web Creating Web Content Understanding Web Content Delivery Selecting a Web Hosting Provider Testing with Multiple Web Browsers Creating a Sample File Using FTP to Transfer Files Understanding Where to Place Files on the Web Server CHAPTER 2: Structuring HTML and Using Cascading Style Sheets Getting Started with a Simple Web Page HTML Tags Every Web Page Must Have Using Hyperlinks in Web Pages Organizing a Page with Paragraphs and Line Breaks Organizing Your Content with Headings Understanding Semantic Elements How CSS Works A Basic Style Sheet A CSS Style Primer Using Style Classes Using Style IDs Internal Style Sheets and Inline Styles CHAPTER 3: Understanding the CSS Box Model and Positioning The CSS Box Model The Whole Scoop on Positioning Controlling the Way Things Stack Up Managing the Flow of Text Understanding Fixed Layouts Understanding Fluid Layouts Creating a Fixed/Fluid Hybrid Layout Considering a Responsive Web Design CHAPTER 4: Introducing JavaScript Learning Web Scripting Basics How JavaScript Fits into a Web Page Exploring JavaScript’s Capabilities Basic JavaScript Language Concepts JavaScript Syntax Rules Using Comments Best Practices for JavaScript Understanding JSON Using the JavaScript Console to Debug JavaScript CHAPTER 5: Introducing PHP How PHP Works with a Web Server The Basics of PHP Scripts Code Blocks and Browser Output Part II: Getting Started with Dynamic Websites CHAPTER 6: Understanding Dynamic Websites and HTML5 Applications Refresher on the Different Types of Scripting Displaying Random Content on the Client Side Understanding the Document Object Model Using window Objects Working with the document Object Accessing Browser History Working with the location Object More About the DOM Structure Working with DOM Nodes Creating Positionable Elements (Layers) Hiding and Showing Objects Modifying Text Within a Page Adding Text to a Page Changing Images Based on User Interaction Thinking Ahead to Developing HTML5 Applications CHAPTER 7: JavaScript Fundamentals: Variables, Strings, and Arrays Using Variables Understanding Expressions and Operators Data Types in JavaScript Converting Between Data Types Using String Objects Working with Substrings Using Numeric Arrays Using String Arrays Sorting a Numeric Array CHAPTER 8: JavaScript Fundamentals: Functions, Objects, and Flow Control Using Functions Introducing Objects Using Objects to Simplify Scripting Extending Built-in Objects Using the Math Object Working with Math Methods Working with Dates The if Statement Using Shorthand Conditional Expressions Testing Multiple Conditions with if and else Using Multiple Conditions with switch Using for Loops Using while Loops Using do…while Loops Working with Loops Looping Through Object Properties CHAPTER 9: Understanding JavaScript Event Handling Understanding Event Handlers Using Mouse Events Using Keyboard Events Using the load and unload Events CHAPTER 10: The Basics of Using jQuery Using Third-Party JavaScript Libraries jQuery Arrives on the Scene Preparing to Use jQuery Becoming Familiar with the $().ready Handler Selecting DOM and CSS Content Manipulating HTML Content Putting the Pieces Together to Create a jQuery Animation Handling Events with jQuery Part III: Taking Your Web Applications to the Next Level CHAPTER 11: AJAX: Remote Scripting Introducing AJAX Using XMLHttpRequest Creating a Simple AJAX Library Creating an AJAX Quiz Using the Library Debugging AJAX-Based Applications Using jQuery’s Built-in Functions for AJAX CHAPTER 12: PHP Fundamentals: Variables, Strings, and Arrays Variables Data Types Using Expressions and Operators Constants Understanding Arrays Creating Arrays Some Array-Related Constructs and Functions CHAPTER 13: PHP Fundamentals: Functions, Objects, and Flow Control Calling Functions Defining a Function Returning Values from User-Defined Functions Understanding Variable Scope Saving State Between Function Calls with the static Statement More About Arguments Testing for the Existence of a Function Creating an Object Object Inheritance Switching Flow Implementing Loops CHAPTER 14: Working with Cookies and User Sessions Introducing Cookies Setting a Cookie Deleting a Cookie Overview of Server-Side Sessions Working with Session Variables Destroying Sessions and Unsetting Session Variables Using Sessions in an Environment with Registered Users CHAPTER 15: Working with Web-Based Forms How HTML Forms Work Creating a Form Accepting Text Input Naming Each Piece of Form Data Labeling Each Piece of Form Data Grouping Form Elements Exploring Form Input Controls Using HTML5 Form Validation Submitting Form Data Accessing Form Elements with JavaScript Accessing Form Elements with PHP Using Hidden Fields to Save State in Dynamic Forms Sending Mail on Form Submission Part IV: Integrating a Database into Your Applications CHAPTER 16: Understanding the Database Design Process The Importance of Good Database Design Types of Table Relationships Understanding Normalization Following the Design Process CHAPTER 17: Learning Basic SQL Commands Learning the MySQL Data Types Learning the Table-Creation Syntax Using the INSERT Statement Using the SELECT Statement Using WHERE in Your Queries Selecting from Multiple Tables Using the UPDATE Statement to Modify Records Using the REPLACE Statement Using the DELETE Statement Frequently Used String Functions in MySQL Using Date and Time Functions in MySQL CHAPTER 18: Interacting with MySQL Using PHP MySQL or MySQLi? Connecting to MySQL with PHP Working with MySQL Data Part V: Getting Started with Application Development CHAPTER 19: Creating a Simple Discussion Forum Designing the Database Tables Creating an Include File for Common Functions Creating the Input Forms and Scripts Displaying the Topic List Displaying the Posts in a Topic Adding Posts to a Topic Modifying the Forum Display with JavaScript CHAPTER 20: Creating an Online Storefront Planning and Creating the Database Tables Displaying Categories of Items Displaying Items Using JavaScript with an Online Storefront CHAPTER 21: Creating a Simple Calendar Building a Simple Display Calendar Creating the Calendar in JavaScript CHAPTER 22: Managing Web Applications Understanding Some Best Practices in Web Application Development Writing Maintainable Code Implementing Version Control in Your Work Understanding the Value and Use of Code Frameworks Appendixes APPENDIX A: Installation QuickStart Guide with XAMPP APPENDIX B: Installing and Configuring MySQL APPENDIX C: Installing and Configuring Apache APPENDIX D: Installing and Configuring PHP

Read more less

Book SynopsisAs Web-based systems and e-commerce carry businesses into the 21st century, databases are becoming workhorses that shoulder each and every online transaction. For organizations to have effective 24/7 Web operations, they need powerhouse databases that deliver at peak performance-all the time. High Performance Web Databases: Design, Development, and Deployment arms you with every essential technique from design and modeling to advanced topics such as data conversion, performance tuning, Web access and interfacing legacy systems, and securityTable of ContentsDatabase Planning and Getting Started. Information Gathering and Analysis. Managing Business Rules. Performance Modeling Methods. Performance Design and Development. Database Integrity and Quality. Distributed Databases, Portability, and Interoperability. Database Integration with the Internet and the Web. Data Migration, Conversion, and Legacy Applications. Performance Tuning. Data Administration and Operations. Data Base Security.

Read more less

Book SynopsisThe explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the WTable of ContentsIntroduction. SUPPORTING TECHNOLOGIES FOR WEB DATA MINING. The World Wide Web and E-Commerce. Data Mining. Core Data Mining Technologies. Web Database Management. Information Retrieval Systems. Information Management Technologies. The Semantic Web. WEB DATA MINING TECHNIQUES, TOOLS, AND TRENDS. Data Mining and the Web. Processes and Techniques for Web Data Mining. Mining the Databases on the Web. Information Retrieval and Web Data Mining. Information Management and Web Data Mining. Semantic Web Mining. Mining Usage Patterns and Structure on the Web. Prototypes, Products, and Standards for Web Data Mining. Some Applications for Web Mining. WEB DATA MINING APPLICATIONS FOR COUNTER-TERRORISM. Some Information on Terrorism, Security Threats, and Protection Measures. Web Data Mining for Counter-Terrorism. Mining the Web Databases for Counter-Terrorism. Information Retrieval and Web Mining for Counter-Terrorism. Information Management and Web Mining for Counter-Terrorism. Semantic Web Mining for Counter-Terrorism. Web Usage and Structure Mining for Counter-Terrorism. National Security, Privacy, Civil Liberties, and Web Mining. Revisiting Security Threats with Respect to Web Mining. E-Commerce, Business Intelligence, and Counter-Terrorism. Summary and Directions. Appendices.

Read more less

Book SynopsisThe information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.Table of ContentsMining Multimedia Documents: An Overview. Fuzzy Decision Trees for Text Document Clustering. Towards Modeling Semi-Automatic Data Warehouses: Guided by Social Interactions. Multi-Agent System for Text Mining. The transformation of User Requirements in UML Diagrams: An Overview. An Overview of Information Extraction using Textual Case-Based Reasoning. Opinions Classification. Documents Classification Based on Text and Image Features. Content-Based Image Retrieval (CBIR). Mining Knowledge in Medical Image Databases. Segmentation for Medical Image Mining. Biological Data Mining: Techniques and Applications. Video Text Extraction and Mining. Recent Advancement in Multimedia Content using Deep Learning.

Read more less

Book SynopsisThe Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty years' experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R's capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book.

Read more less

Book SynopsisDisk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives continue to be common in large data clusters. It also explores ways to store and retrieve data though primary and secondary indices. This includes a review of different in-memory sorting and searching algorithms that build a foundation for more sophisticated on-disk approaches like mergesort, B-trees, and extendible hashing. Following this introduction, the book transitions to more recent topics, including advanced storage technologies like solid-state drives and holographic storage; peer-to-peer (P2P) communication; large file systems and query languages like Hadoop/HDFS, Hive, Cassandra, and Presto; and NoSQL databases like Neo4j for graph structurTable of ContentsForeword. Physical Disk Storage. File Management. Sorting. Searching. Disk-Based Sorting. Disk-Based Searching. Storage Technology. Large File Systems. NoSQL Storage. Appendix

Read more less

Book SynopsisAn emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns.In the first set of chapters, the book introduces a number of studies on mining finite state machines that employ techniques, such as grammar inference, partial order mining, source code model checking, abstract interpretation, and more. The remaining chapters present research on mining temporal rules/patterns, covering techniques that include path-aware static program analyses, lightweight rule/pattern mining, statistical analysis, and other interesting apTable of ContentsSpecification Mining: A Concise Introduction. Mining Finite-State Automata with Annotations. Adapting Grammar Inference Techniques to Mine State Machines. Mining API Usage Protocols from Large Method Traces. Static API Specification Mining: Exploiting Source Code Model Checking. Static Specification Mining Using Automata-Based Abstractions. DynaMine: Finding Usage Patterns and Their Violations by Mining Software Repositories. Automatic Inference and Effective Application of Temporal Specifications. Path-Aware Static Program Analyses for Specification Mining. Mining API Usage Specifications via Searching Source Code from the Web. Merlin: Specification Inference for Explicit Information Flow Problems. Lightweight Mining of Object Usage.

Read more less

Book SynopsisAmbient Diagnostics addresses innovative methods for discovering patterns from affordable devices, such as mobile phones, watches, cameras, and game interfaces, to interpret multimedia data for personal health monitoring and diagnosis. This is the first comprehensive textbook on multidisciplinary innovations in affordable healthcarefrom sensory fusion, pattern detection, to classification.Connecting the DotsThe material in this book combines sensing, pattern recognition, and visual design, and is divided into four parts, which cover fundamentals, multimedia intelligence, pervasive sensors, and crowdsourcing. The author describes basic pattern discovery models, sound, color, motion and video analytics, and pattern discovery from games and social networks. Each chapter contains the material's main concepts, as well as case studies, and extensive study questions. Trade Review"... not only the first book of its kind, it's the only reference I know of that shows how designers and engineers might create a new world of ambient healthcare with non-invasive, low-cost and accessible sensors. Yang Cai's book is a very readable, extremely comprehensive collection of technologies and applications for readily accessible sensors and mobile technologies for immediate application in everyday diagnosis across the spectrum of health situations. Yang Cai's book is especially valuable as a deeply-researched and reliable source for engineers, product and medical device designers to quickly learn and adapt the emerging tools and sensors to facilitate what is so brilliantly framed as "ambient diagnostics." -Peter Jones, PhD, OCAD University, Toronto "The main contribution of this book is a comprehensive transversal approach that combines this ample background into a single matter ... a combination of diverse methodologies and strategies that are directly applicable to sense, perceive and recognize a great diversity of ambient parameters. Its easy-to-read style and its frequent references to real life examples make the book very attractive to the reader." -Julio Abascal, University of the Basque Country/Euskal Herriko UnibertsitateaTable of Contents Part I. Fundamentals. Introduction. Transformation. Pattern Recognition. Part II. Multimedia Intelligence. Sound Recognition. Color Sensors. Kinect Sensors. Video Analytics. Fatigue Sensing. Part III. Pervasive Sensors. Mobile Sensors. Body Media. Pocket Microscopes. Personal Spectrometers. Part IV. Crowd Sourcing. Remote Sensing. Games for Diagnosis. Social Media. Problems. Sample Source Code. Further Readings. Index.

Read more less

Book SynopsisA User''s Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start in analytics as well as for experts on the job who will benefit by using this text as a reference book.The book is comprised of 12 chapters. The first chapter focuses on business analytics, along with its emergence and application, and sets up a context for the whole book. The next three chapters introduce R and provide a comprehensive discussion on descriptive analytics, including numerical data summarization and visual analytics. Chapters five through seven discuss set theory, definitions and counting rules, probability, random Table of ContentsWhat Is Analytics? Introducing R—An Analytics Software. Reporting Data. Statistical Graphics and Visual Analytics. Probability. Random Variables and Probability Distributions. Continuous Random Variables. Statistical Inference. Regression for Predictive Model Building. Decision Trees. Data Mining and Multivariate Methods. Modeling Time Series Data for Forecasting.

Read more less

Book SynopsisThe Shakespearean Inside is a study of all soliloquies and solo asides (dubbed insides for short) in Shakespeare's complete plays.

Read more less

Book SynopsisThe Shakespearean Inside' is a study of all soliloquies and solo asides (dubbed insides for short) in Shakespeare's complete plays.

Read more less

Book SynopsisAlthough the terms data mining and knowledge discovery and data mining (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns.Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal consideratioTable of ContentsIntroduction to Reinforcement Learning. Model-Free Policy Iteration. Policy Iteration with Value Function Approximation. Basis Design for Value Function Approximation. Sample Reuse in Policy Iteration. Active Learning in Policy Iteration. Robust Policy Iteration. Model-Free Policy Search. Direct Policy Search by Gradient Ascent. Direct Policy Search by Expectation-Maximization. Policy-Prior Search. Model-Based Reinforcement Learning. Transition Model Estimation. Dimensionality Reduction for Transition Model Estimation.

Read more less

Book SynopsisData Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R.The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document. The book is accompanied by a set of freely available R source files that can be obtained at the book's web site. These files inTable of ContentsIntroduction. I R AND DATA MINING. Introduction to R. Introduction to Data Mining. II CASE STUDIES. Predicting Algae Blooms. Predicting Stock Market Returns. Detecting Fraudulent Transactions. Classifying Microarray Samples

Read more less

Book SynopsisExtremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors' recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as NP-hard and the phase transitions occurring on the search landscape.Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO Table of ContentsFUNDAMENTALS, METHODOLOGY, AND ALGORITHMS. General Introduction. Introduction to Extremal Optimization. Extremal Dynamics-Inspired Self-Organizing Optimization. MODIFIED EO AND INTEGRATION OF EO WITH OTHER SOLUTIONS TO COMPUTATIONAL INTELLIGENCE. Modified Extremal Optimization. Memetic Algorithms with Extremal Optimization. Multiobjective Optimization with Extremal Dynamics. APPLICATIONS. EO for Systems Modeling and Control. EO for Production Planning and Scheduling. References.

Read more less

Book SynopsisMaintaining the advanced technical focus found in Developing Essbase Applications, this second volume is another collaborative effort by some of the best and most experienced Essbase practitioners from around the world.Developing Essbase Applications: Hybrid Techniques and Practices reviews technology areas that are much-discussed but still very new, including Exalytics and Hybrid Essbase. Covering recent improvements to the Essbase engine, the book illustrates the impact of new reporting and analysis tools and also introduces advanced Essbase best practices across a variety of features, functions, and theories.Some of this book's chapters are in the same vein as the previous volume: hardware, engines, and languages. Others cover new ground with Oracle Business Intelligence Enterprise Edition, design philosophy, benchmarking concepts, and multiple client tools. As before, these subjects are covered from both the technical and best practice perspectives.Trade Review"I enjoyed the first book because it was a collection of best practices, tips, tricks, and mini-guides. ... Reading this book, I was happy to find a wider representation of topics: brand new, forward-looking features like Hybrid Aggregation Mode; popular product offerings such as Exalytics and Oracle Business Intelligence Enterprise Edition integrations; topics relevant to many existing implementations; and even a representation of partner products."—Gabby Rubin, Senior Director, Product Management, Oracle Business AnalyticsTable of ContentsIntroduction. Essbase on Exalytics and the "Secret Sauce". Hybrid Essbase: Evolution or Revolution? The Young Person’s Guide to Essbase Cube Design. Essbase Performance and Load Testing. Utilizing Structured Query Language to Enhance Your Essbase Experience. Copernicus Was Right: Integrating Oracle Business Intelligence and Essbase. Managing Spreadsheets (and Essbase) Through Dodeca. Smart View Your Way.

Read more less

Book SynopsisExploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of interesting - good, bad, and ugly - features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on keeping it all together that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no

Read more less

Book SynopsisBiometrics in a Data Driven World: Trends, Technologies, and Challenges aims to inform readers about the modern applications of biometrics in the context of a data-driven society, to familiarize them with the rich history of biometrics, and to provide them with a glimpse into the future of biometrics.The first section of the book discusses the fundamentals of biometrics and provides an overview of common biometric modalities, namely face, fingerprints, iris, and voice. It also discusses the history of the field, and provides an overview of emerging trends and opportunities. The second section of the book introduces readers to a wide range of biometric applications. The next part of the book is dedicated to the discussion of case studies of biometric modalities currently used on mobile applications. As smartphones and tablet computers are rapidly becoming the dominant consumer computer platforms, biometrics-based authentication is emergingTable of ContentsIntroduction to Biometric Authentication. Challenges in Biometric Systems. Emerging trends and new opportunities in Biometrics. Biometrics in the mobile world. Biometric authentication techniques in the mobile platform. Case Studies of real-world mobile biometric systems. Biometrics in wearable technology and healthcare applications. Biometrics in Social Networks. Biometrics in Gaming Technologies. Biometrics in homeland security. Computational issues in biometrics. New directions in Biometrics research: What does the future hold?

Read more less

Book SynopsisData Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new profession, while possibly motivating others to consider a career in the field. The ebook, avalable for no additional cost when you buy the paperback, will be updated every 6 months on average (providing that significant updates are needed or avaialble). Readers will have the opportunity to contribute material towards these updates, and to develop their own data management plans, via the free Data Stewardship Wizard.

Read more less

Book SynopsisThe proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.Table of ContentsPrefaceEditorsContributorsSection I Introduction to the Human Element of Big Data: Definition, New Trends, and Methodologies1 Taming the Realm of Big Data Analytics: Acclamation or Disaffection?Audrey Depeige2 Fast Data Analytics Stack for Big Data AnalyticsSourav Mazumder3 Analytical Approach for Big Data in the Internet of ThingsAnand Paul, Awais Ahmad, and M. Mazhar Rathore4 Analysis of Costing Issues in Big DataKuldeep Singh Jadon and Radhakishan YadavSection II Algorithms and Applications of Advancement in Big Data5 An Analysis of Algorithmic Capability and Organizational ImpactGeorge Papachristos and Scott W. Cunningham6 Big Data and Its Impact on Enterprise ArchitectureMeena Jha, Sanjay Jha, and Liam O’Brien7 Supportive Architectural Analysis for Big DataUtkarsh Sharma and Robin Singh Bhadoria8 Clustering Algorithms for Big Data: A SurveyAnkita Sinha and Prasanta K. JanaSection III Future Research and Scope for the Human Element of Big Data9 Smart Everything: Opportunities, Challenges, and ImpactSiddhartha Duggirala10 Social Media and Big DataRichard Millham and Surendra Thakur11 Big Data Integration, Privacy, and SecurityRafael Souza and Chandrakant Patil12 Paradigm Shifts from E-Governance to S-GovernanceAkshi Kumar and Abhilasha SharmaSection IV Case Studies for the Human Element of Big Data: Analytics and Performance13 Interactive Visual Analysis of Traffic Big DataZhihan Lv, Xiaoming Li, Weixi Wang, Jinxing Hu, and Ling Yin14 Prospect of Big Data Technologies in HealthcareRaghavendra Kankanady and Marilyn Wells15 Big Data Suite for Market Prediction and Reducing Complexity Using Bloom FilterMayank Bhushan, Apoorva Gupta, and Sumit Kumar Yadav16 Big Data Architecture for Climate Change and Disease DynamicsDaphne Lopez and Gunasekaran ManogaranIndex

Read more less

Book SynopsisData Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools. Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and morTrade Review"Dr. Roiger does an excellent job of describing in step by step detail formulae involved in various data mining algorithms, along with illustrations. In addition, his tutorials in Weka software provide excellent grounding for students in comprehending the underpinnings of Machine Learning as applied to Data Mining. The inclusion of RapidMiner software tutorials and examples in the book is also a definite plus since it is one of the most popular Data Mining software platforms in use today."--Robert Hughes, Golden Gate University, San Francisco, CA, USATable of ContentsData Mining: A First View. Data Mining: A Closer Look. Basic Data Mining Techniques. Weka – A Tool for Knowledge Discovery.Pre Processing & Visualization Techniques. Knowledge Discovery in Databases. Formal Evaluation Techniques. The DataWarehouse. Neural Networks. Building Neural Networks with BpKNet. Statistical Methods. Specialized Techniques. A Case Studyin Knowledge Discovery. Rule-Based Systems. Managing Uncertainty in Rule-Based Systems. Intelligent Agents

Read more less

Book SynopsisFrom the Foreword:Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies.---Sartaj Sahni, University of Florida, USABig Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seaTable of ContentsBig Data Management. Big Data Design, implementation, evaluation and services. Big Data as integration of technologies. Big Data analytics and visualization. Query processing and indexing. Elasticity for data management systems. Self-adaptive and energy-efficient mechanisms. Performance evaluation. Security, privacy, trust, data ownership and risk simulations. Processing. Techniques, algorithms and innovative methods of processing. Business and economic models. Adoption cases, frameworks and user evaluations. Data-intensive and scalable computing on hybrid infrastructures. MapReduce based computations. Many-Task Computing in the Cloud. Streaming and real-time processing. Big Data systems and applications for multidisciplinary applications.

Read more less