Applied computing Books

Book SynopsisWe already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education? Table of ContentsReflections on AI for Humanity: Introduction.- Trustworthy AI.- Democratising the digital revolution: the role of data governance.- Artificial Intelligence and the Future of Work.- Reflections on Decision-Making and Artificial Intelligence.- AI and Human values: inequalities, biases, fairness, nudge and feedback loops.- Next big challenges in core AI technology.- AI for Humanity: The Global Challenges.- AI and Constitutionalism: the challenges ahead.- Analyzing the Contributions of ethical charters to building the Future of Artificial Intelligence governance.- What does “Ethical by Design” Mean?.- AI for Digital Humanities and Computational Social Sciences.- Augmented Human and Human-Machine Co-Evolution: efficiency and ethics.- Democratizing AI for Humanity: A Common Goal.- A Framework for Global Cooperation on Artificial Intelligence and its Governance.

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Book SynopsisThis open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.Table of ContentsExtended Workshop Papers.- Active Semantic Relations in Layered Enterprise Architecture Development.- A Belief Update System Using an Event Model for Location of People in a Smart Home.- A Natural Language Generation Technique for Automated Psychotherapy.- Creative Composition Problem: A Knowledge Graph Logical-based AI Construction and Optimization Solution.- Set Visualisations with Euler and Hasse Diagrams.- Usage Patterns Identification Using Graphs and Machine Learning.- Collaborative Design and Manufacture: Information Structures for Team Formation and Coordination.- Invited Additional Contributions.- Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.- Galois Connections for Patterns: An Algebra of Labelled Graphs.

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Book SynopsisThis open access State-of-the-Art Survey describes and documents the developments and results of the Once-Only Principle Project (TOOP). The Once-Only Principle (OOP) is part of the seven underlying principles of the eGovernment Action Plan 2016-2020. It aims to make the government more effective and to reduce administrative burdens by asking citizens and companies to provide certain standard information to the public authorities only once.The project was horizontal and policy-driven with the aim of showing that the implementation of OOP in a cross-border and cross-sector setting is feasible. The book summarizes the results of the project from policy, organizational, architectural, and technical points of view. Table of ContentsThe Once-Only Principle: A Matter of Trust.- Implementation of the 'once-only' principle in Europe – national approaches.- Drivers for and Barriers to the Cross-Border Implementation of the Once-Only Principle - Once-Only Principle Good Practices in Europe.- The Single Digital Gateway Regulation as an Enabler and Constraint of Once-Only in Europe.- Legal Basis and Regulatory Applications of the Once-Only Principle: the Italian Case.- TOOP Trust Architecture.- The Technical challenges in OOP application across the European Union and the TOOP OOP architecture.- Testing methodology for the TOOP pilots.- TOOP pilot experiences: challenges and achievements in implementing once-only in different domains and Member States.- Measuring the Impact of the Once Only Principle for Businesses Across Borders.- The Future of the Once-Only Principle in Europe.

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Book SynopsisChapters "Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students" and "From Paper to Online: Digitizing Card Based Co-creation of Games for Privacy Education" are available open access under a Creative Commons Attribution 4.0 International License via springer.com.Table of ContentsThe Impact of Explicating Learning Goals on Teaching and Learning in Higher Education: Evaluating a Learning Goal Visualization.- Catching group criteria semantic information when forming collaborative learning groups.- The role of social practices of knowledge appropriation for sustaining TEL innovations in the classroom.- Visual Aids for Teaching Piano to Students with Autism: Designing a Web App through Practice.- Interactive and explainable advising dashboard opens the black box of student success prediction.- Investigating the role of educational robotics in formal mathematics education: a case study of geometry for 15-year-old students.- Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method.- VLE Limits and Perspectives for Digital Integration in Teaching Practices Lessons Learned from the French Basic Education Teachers’ Experience during the COVID-19 Pandemic.- First-year university students in distance learning: motivations and early experiences.- The dire cost of early disengagement: A four-year learning analytics study over a full program.- Analysis of the ”D’oh!” moments. Physiological markers of performance in cognitive switching tasks.- Examining the Effect of Self-Explanations in Distributed Self-Assessment.- 148 Cheng-Yu Chung and I-Han Hsiao Examining the relationship between reflective writing behaviour and self-regulated learning competence: A time-series analysis.- From Paper to Online: Digitizing Card Based Co-Creation of Games for Privacy Education.- An in-depth methodology to predict at-risk learners.- A Framework to Guide Educational Technology Studies in the Evolving Classroom Research Environment.- Using Prompts and Remediation to Improve Primary School Students Self-Evaluation and Self-Efficacy in a Literacy Web Application.- Student Creativity to Design Fake News Literacy Training: An Overview of Twelve Graduate Student Projects.- Recommendations for Orchestration of Formative Assessment Sequences: a Data-driven Approach.- Surveying Teachers’ Preferences and Boundaries regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning.- What Do Learning Designs Show about Pedagogical Adoption? An Analysis Approach and a Case Study on Inquiry-Based Learning.- On the Linguistic and Pedagogical Quality of Automatic Question Generation via Neural Machine Translation.- Developing a prototype of an Open Educational Resource on research methods for PhD candidates in Technology-Enhanced Learning.- Comparing usage in and between primary and secondary schools for a blended TEL portal.- Investigating the Associations between Emotion, Cognitive Load and Personal Learning Goals: The Case for MOOCs.- I need more motivation: Engaging Students in the Gamification Design Process.- Augmented Reality as Educational Tool: Perceptions, Challenges, and Requirements from Teachers.- Towards a self-assessment tool for teachers to improve LMS mastery based on Teaching Analytics.- Uncovering Latent Profiles Based on How Students Review Paper-based Assessments.- Orchestrating an ubiquitous learning situation about Cultural Heritage with Casual Learn.- Bibliometric Analysis of the Last Ten Years of the European Conference on Technology-enhanced Learning.

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Book SynopsisThis book constitutes the conference proceedings of the 10th International Conference on Network Games, Control and Optimization, NETGCOOP 2020, held in Cargèse, Corsica, France, in September 2021*.The 12 full papers and 16 short papers were carefully reviewed and selected from 44 submissions. The papers are organized in the following topical sections: ​game theory and iterative algorithms applied to wireless communication; stochastic models for network performance analysis; game theory in mobile and wireless networks; scheduling and resource allocation problems in networks; advance in game theory; social network; electrical network.* The conference was postponed to 2021 due to the COVID-19 pandemic.Table of ContentsGame theory and iterative algorithms applied to wireless communication.- Stochastic models for network performance analysis.- Game theory in Mobile and Wireless Networks.- Scheduling and resource allocation problems in networks.- Advance in game theory.- Social network.- Electrical network.

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Book SynopsisThis two-volume set LNCS 12918 - 12919 constitutes the refereed proceedings of the 23nd International Conference on Information and Communications Security, ICICS 2021, held in Chongqing, China, in September 2021. The 49 revised full papers presented in the book were carefully selected from 182 submissions. The papers in Part II are organized in the following thematic blocks:​ machine learning security; multimedia security; security analysis; post-quantum cryptography; applied cryptography.Table of ContentsMachine Learning Security.- Multimedia Security.- Security Analysis.- Post-Quantum Cryptography.- Applied Cryptography.

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Book SynopsisThis book constitutes revised selected papers from the 11th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2021, held in Lugano, Switzerland, in October 2021.The 14 full papers carefully reviewed and selected from 31 submissions are presented in this volume together with the 4 extended keynote abstracts. The workshop covers the following subjects: cryptography, side-channel analysis, cryptographic implementations, fault attacks, implementation attacks, post-quantum cryptography, hardware accelerators, etc.

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Book SynopsisThis book constitutes the proceedings papers of the 14th IFIP Working Conference on the Practice of Enterprise Modeling, held in Riga, Latvia, during November 24-26, 2021. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is the use of enterprise modeling and enterprise architecture towards ensuring sustainability and resilience of enterprises and societies. The 14 full and 6 short papers presented in this volume were carefully reviewed and selected from a total of 47 submissions. They were organized in topical sections named: enterprise modeling and enterprise architecture; enterprise modeling methods and method engineering; business process modeling and management; requirements engineering for privacy, security and governance; and case studies and experiences.Table of ContentsEnterprise Modeling and Enterprise Architecture.- Enterprise Coherence with GEA – a 15 Year Co-evolution of Practice and Theory.- Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials.- The Models for Knowledge Acquisition in PMI Specific Requirements Engineering.- Using Knowledge Graphs to Detect Enterprise Architecture Smells.- “Mind the Gap!”: Learning Missing Constraints from Annotated Conceptual Model Simulations.- Detecting value capture processes using FEM.- OLIVE, a Model-Aware Microservice Framework.- Enterprise Modeling Methods and Method Engineering.- An Experience Report on the Implementation of the KYKLOS Modeling Method.- Validation and Verification in Domain-Specific Modeling Method Engineering.- A Foundation for Design, Analysis, and Management of Digital Business Ecosystem through Situational Method Engineering.- Business Process Modeling and Management.- Design Guidelines to Derive ane3valueBusinessModel from a BPMN process model in the Financial Securities Sector.- Context-Aware Process Modelling for Medicinal Product Development.- Process Model Repair Meets Theory Revision - Initial Ideas.- Upper-bounded Model Checking for Declarative Process Models.- Requirements Engineering for Privacy, Security and Governance.- On the Philosophical Foundations of Privacy: Five Theses.- A Cyber Security Digital Twin for Critical Infrastructure Protection: the Intelligent Transport System Use Case.- Expanding Data Governance Across Company Boundaries – An Inter-Organizational Perspective of Roles and Responsibilities.- Case Studies and Experiences.- Can SysML Be Used for Enterprise Modelling?.- A Collaborative Model for Connecting Product Design and Assembly Line Design: an Aeronautical Case.- Assignment of Actors to Activities at Process-oriented Applications: A Research Agenda.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. Table of ContentsCombinatorial Optimization and Learning.- Streaming algorithms for maximizing non-submodular functions on the integer lattice.- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model.- Streaming algorithms for Budgeted $k$-Submodular Maximization problem.- Approximation algorithms for the lower bounded correlation clustering problem.- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions.- Differentially Private Submodular Maximization over Integer Lattice.- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice.- Deep Learning and Applications to Complex and Social Systems.- A Framework for Accelerating Graph Convolution Networks on Massive Datasets.- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning.- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer.- Deep Bangla Authorship Attribution using Transformer Models.- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems.- Detecting Hate Speech Contents Using Embedding Models.- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis.- Power Grid Cascading Failure Prediction Based on Transforme.- Measurements of Insight from Data.- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis.- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network.- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets.- Complex Networks Analytics.- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network.- Network based Framework to Compare Vaccination Strategies.- Groups Influence with Minimum Cost in Social Network.- Recovering communities in temporal networks using persistent edges.- Community Detection using Semilocal Topological Features and Label Propagation Algorithm.- Twitter Analysis of Covid-19 Misinformation in Spain.- Comparing Community-aware Centrality Measures in Online Social Networks.- Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks.- Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks.- Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations.- The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis.- Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor Classifier.- Special Track: Information Spread in Social and Data Networks.- Summarization Algorithms for News: a Study of the Coronavirus Theme and its Impact on the News Extracting Algorithm.- Social cohesion during stay-at-home phase during the first wave of COVID-19 in Poland.- Influence and Activation Thresholds Target Set Selection within Community Structure.

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Book SynopsisThis book constitutes the refereed proceedings of the 22nd International Conference on Product-Focused Software Process Improvement, PROFES 2021, held in Turin, Italy, in November 2021. Due to COVID-19 pandemic the conference was held as a hybrid event. The 20 revised papers, including 14 full papers, 3 short papers and 3 industry papers, presented were carefully reviewed and selected from 48 submissions. The papers cover a broad range of topics related to professional software development and process improvement driven by product and service quality needs. They are organized in the following topical sections: agile and migration, requirements, human factors, and software quality.Table of ContentsAgile and Migration.- Migration from Ionic to Android: Implications.- The migration journey towards microservices.- Migrating from a Centralized Data Warehouse to a Decentralized Data Platform Architecture.- How Do Agile Teams Manage Impediments?.- Keeping the momentum: Driving continuous improvement after the large-scale agile transformation.- Requirements.- How Do Practitioners Interpret Conditionals in Requirements?.- Situation- and Domain-specific Composition and Enactment of Business Model Development Methods.- Using a data-driven context model to support the elicitation of context-aware functionalities – a controlled experiment.- A Transformation Model for Excelling in Product Roadmapping in Dynamic and Uncertain Market Environments.- Introducing Traceability in GitHub for Medical Software Development.- Human Factors.- An Empirical Study on Personality Traits and Team Climate in a Smart-Working Development Context.- Searching for bellwether developers for cross-personalized defect prediction.- Using Machine Learning to Recognise Novice and Expert Developers.- Is knowledge the key? An experiment on debiasing architectural decision-making - a pilot study.-Communicating Cybersecurity Vulnerability Information: A Producer-Acquirer Case Study.- Software quality.- Analyzing SAFe Practices with respect to Quality Requirements: Findings from a Qualitative Study.- Capitalizing on Developer-Tester Communication – A Case Study.- Toward a Technical Debt Relationship with the Pivoting of Growth Phase Startups.- Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts.- Towards RegOps: A DevOps Pipeline for Medical Device Software.-

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Book SynopsisThis book constitutes the thoroughly refereed post-workshop proceedings of the 21th International Conference on Web Engineering, ICWE 2021, held in Biarritz, France, in May 2021.*The first international workshop on Big data-driven Edge Cloud Services (BECS 2021) was held to provide a venue in which scholars and practitioners can share their experiences and present on-going work on providing value-added Web services for users by utilizing big data in edge cloud environments. The 5 revised full papers and 1 revised short contribution selected from 11 submissions are presented with 2 invited papers.*The conference was held virtually due to the COVID-19 pandemic.Table of ContentsBECS 2021.- Putting Data Science Pipelines on the Edge.- DNN Model Deployment on Distributed Edges.- Towards Proactive Context-Aware IoT Environments by means of Federated Learning.- Real-time Deep Learning-based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink.- A Novel Approach to Dynamic Pricing for Cloud Computing Through Price Band Prediction.- Learning-based Activation of Energy Harvesting Sensors for Fresh Data Acquisition.- Invited Papers.- Exploiting Triangle Patterns for Heterogeneous Graph Attention Network.- Towards Seamless IoT Device-Edge-Cloud Continuum: Software Architecture Options of IoT Devices Revisited.

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Book SynopsisThis book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use. The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and a summary of the presented methods, techniques, and applications for process querying. The introductory chapter also examines a process querying framework. The contributed chapters present various process querying methods, including discussions on how they instantiate the framework components, thus supporting the comparison of the methods. The four parts are due to the distinctive features of the methods they include. The first three are devoted to querying event logs generated by IT-systems that support business processes at organizations, querying process designs captured in process models, and methods that address querying both event logs and process models. The methods in these three parts usually define a language for specifying process queries. The fourth part discusses methods that operate over inputs other than event logs and process models, e.g., streams of process events, or do not develop dedicated languages for specifying queries, e.g., methods for assessing process model similarity. This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying. They describe state-of-the-art methods for process querying, discuss use cases of process querying, and suggest directions for future work for advancing the field. Yet, also other groups like business or data scientists and other professionals, lecturers, graduate students, and tool vendors will find relevant information for their distinctive needs.Chapter "Celonis PQL: A Query Language for Process Mining" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsIntroduction to Process Querying.- Part I: Event Log Querying.- BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data.- Data-Aware Process Oriented Query Language.- Process Instance Query Language and the Process Querying Framework.- Part II: Process Model Querying.- The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation.- VM*: A Family of Visual Model Manipulation Languages.- The BPMN Visual Query Language and Process Querying Framework.- Retrieving, Abstracting, and Changing Business Process Models with PQL.- QuBPAL: Querying Business Process Knowledge.- CRL and the Design-Time Compliance Management Framework.- Process Query Language.- Part III: Event Log and Process Model Querying.- Business Process Query Language.- Celonis PQL: A Query Language for Process Mining.- Part IV: Other Process Querying Methods.- Process Querying Using Process Model Similarity.- Logic-Based Approaches for Process Querying.- Process Model Similarity Techniques for Process Querying.- Complex Event Processing Methods for Process Querying.- Process Querying: Methods, Techniques, and Applications.

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Book SynopsisThis book explains the functional scope, the data model, the solution architecture, the underlying engineering concepts, and the programming model of SAP S/4HANA as the most well-known enterprise resource planning (ERP) system. The approach is to start with general concepts and then to proceed step-by-step to concrete implementations in SAP S/4HANA. In the first part the reader learns about the market view of ERP solutions and vendors. The second part deals with the business processes for sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources which are covered with SAP S/4HANA. In the third part the underlying concepts of SAP S/4HANA are described, for example in-memory storage, analytics and search, artificial intelligence, process and data integration, security and compliance, lifecycle management, performance and scalability, configuration and implementation. The book is concluded with a final chapter explaining how to deploy an appliance to explore SAP S/4HANA. The target audience for the book are managers and business analysts who want to understand the market situation and future ERP trends, end users and process experts who need to comprehend the business processes and the according solution capabilities provided with SAP S/4HANA, architects and developers who have to learn the technical concepts and frameworks for enhancing SAP S/4HANA functionality, and consultants and partners who require to adopt and configure SAP S/4HANA.Table of ContentsPart 1: Market View.- 1. Challenges and Characteristics of ERP Systems.- 2. ERP Market Analysis.- 3. ERP Future Trends.- Part 2: Functional View.- 4. Functional Departments and Enterprise Domains.- 5. Master Data of Business Partner.- 6. Master Data of Product.- 7. Master Data of Bill of Material.- 8. Process of Idea to Market.- 9. Process of Source to Pay.- 10. Process of Plan to Fulfill.- 11. Process of Lead to Cash.- 12. Process of Recruit to Retire.- 13. Process of Acquire to Decommission.- 14. Process of Governance.- 15. Process of Finance.- 16. Industry Solutions.- Part 3: Conceptual View.- 17. ERP Product Qualities: Customer View.- 18. ERP Product Qualities: Provider View.- 19. In-Memory Persistency.- 20. Virtual Data Model.- 21. Transactional Programming Model.- 22. Analytics.- 23. Search.- 24. Artificial Intelligence.- 25. Internet of Things.- 26. Process Integration.- 27. Data Integration.- 28. In-App Extensibility.- 29. Side-by-Side Extensibility.- 30. User Experience.- 31. Identity and Access Management.- 32. Data Protection and Privacy.- 33. Secure Development and Operations.- 34. Globalization and Localization.- 35. Scalability and Performance.- 36. Lifecycle Management.- 37. Configuration.- 38. Implementation.- Appendix.- 39. Explore SAP S/4HANA System.

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Book SynopsisThis open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty.Table of ContentsPart I: Foundations and Context.- 1. The Evolution of Data Spaces.- 2. How to Build, Run, and Govern Data Spaces.- 3. International Data Spaces in a Nutshell.- 4. Role of Gaia-X in the European Data Space Ecosystem.- 5. Legal Aspects of IDS: Data Sovereignty—What Does It Imply?.- 6. Tokenomics: Decentralized Incentivization in the Context of Data Spaces.- Part II: Data Space Technologies.- 7. The IDS Information Model: A Semantic Vocabulary for Sovereign Data Exchange.- 8. Data Usage Control.- 9. Building Trust in Data Spaces.- 10. Blockchain Technology and International Data Spaces.- 11. Federated Data Integration in Data Spaces.- 12. Semantic Integration and Interoperability.- 13. Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning.- 14. IDS as a Foundation for Open Data Ecosystems.- 15. Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure.- Part III: Use Cases and Data Ecosystems.- 16. Silicon Economy: Logistics as the Natural Data Ecosystem.- 17. Agricultural Data Space.- 18. Medical Data Spaces in Healthcare Data Ecosystems.- 19. Industrial Data Spaces.- 20. Energy Data Space.- 21. Mobility Data Space.- Part IV: Solutions and Applications.- 22. Data Sharing Spaces: The BDVA Perspective.- 23. Data Platform Solutions.- 24. FIWARE for Data Spaces.- 25. Sovereign Cloud Technologies for Scalable Data Spaces.- 26. Data Space Based on Mass Customization Model.- 27. Huawei and International Data Spaces.- International Collaboration Between Data Spaces and Carrier Networks.- 29. From Linear Supply Chains to Open Supply Ecosystems.- 30. Data Spaces: First Applications in Mobility and Industry.- 31. Competition, Security, and Transparency: Data in Connected Vehicles.- Data Space Functionality.- The Energy Data Space: The Path to a European Approach for Energy.

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Book SynopsisThis book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021.The 15 full papers presented in this book were carefully reviewed and selected from 31 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.Table of ContentsThe Power of Signaling and its Intrinsic Connection to the Price of Anarchy.- Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.- SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition.- GC: Multi-Agent Group Belief with Graph Clustering.- Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics.- Securities Based Decision Markets.- MARL for Traffc Signal Control in Scenarios with Different Intersection Importance.- Safe Distributional Reinforcement Learning.- The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design.- Behavioral Stable Marriage Problems.- FUN-Agent: a HUMAINE Competitor.- Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning.- A Description of the Jadescript Type System.- Combining M-MCTS and Deep Reinforcement Learning for General Game Playing.- A Two-Step Method for Dynamics of Abstract Argumentation.

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Book SynopsisThis book constitutes the refereed proceedings of the Second Southern African Conference on Artificial Intelligence Research, SACAIR 2021, held in Durban, South Africa, in December 2021. Due to the COVID-19 pandemic the SACAIR 2021 was held online. The 22 papers presented were thoroughly reviewed and selected from the 70 submissions. They are organized on the topical sections on ​AI in the humanities and society, AI in and for information systems, computer vision and image processing, deep learning, knowledge representation and reasoning, machine learning, philosophy and ethics of AI.Table of ContentsAI in the Humanities and Society.- AI in and for Information Systems.- Computer Vision and Image Processing.- Deep Learning.- Knowledge Representation and Reasoning.- Machine Learning.- Philosophy and Ethics of AI.

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Book SynopsisThis textbook provides a comprehensive, holistic, scientifically precise, and practically relevant description of Enterprise Architecture Management (EAM). Based on state-of-the-art concepts, it also addresses current trends like disruptive digitization or agile methods. The book is structured in five chapters. The first chapter offers a comprehensive overview of EAM. It addresses questions like: what does EAM mean, what is the history of EAM, why do enterprises need EAM, what are its goals, and how is it related to digitalization? It also includes a short overview of essential EAM standards and literature. The second chapter provides an overview of Enterprise Architecture (EA). It starts with clarifying basic terminology and the difference between EA and EAM. It also gives a short summary of existing EA frameworks and methods for structuring the digital ecosystem into layers and views. The third chapter addresses the strategic and tactical context of the EAM capability in an enterprise. It defines essential terms and parameters in the context of enterprise strategy and tactics as well as the operative, organizational context of EAM. The fourth chapter specifies the detailed goals, processes, functions, artifacts, roles and tools of EAM, building the basis for an EAM process framework that provides a comprehensive overview of EAM processes and functions. Closing the circle, the last chapter describes how to evaluate EAM in an enterprise. It starts by laying out core terminology, like “metric” and “strategic performance measurement system” and ends with a framework that integrates the various measuring areas in the context of EA and EAM. This textbook focuses on two groups: First, EAM scholars, ie bachelor or master students of Business Information Systems, Business Administration or Computer Science. And second, EAM practitioners working in the field of IT strategy or EA who need a reliable, scientifically solid, and practically proven state-of-the-art description of essential EAM methods.Table of Contents1. EAM in a Nutshell.- 2. Enterprise Architecture in a Nutshell.- 3. Strategic and Tactical Context of EAM.- 4. EAM Implementation.- 5. EAM Evaluation.

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Book SynopsisThe aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.

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Book SynopsisDas Buch richtet sich an eine Leserschaft, die bereits Grundkenntnisse in der Computergrafik hat. Vorwiegend ist hierbei an Studenten der Informatik gedacht, die bereits eine Computeranimationsvorlesung belegt haben oder die ein vertieftes Interesse an diesem Gebiet besitzen. Neben einem Überblick über die relevanten Themen der Computeranimation wurde ein besonderes Schwergewicht auf die physikalisch-basierten Animationsmethoden gelegt. Zum einfacheren Verständnis, speziell der physikalisch-basierten Methoden, sind allerdings Grundkenntnisse in der Physik sowie in der Analysis sehr hilfreich. Das Buch zeichnet sich im Besonderen dadurch aus, dass es auch exemplarisch wichtige Details einiger Animationsmethoden behandelt, die deren Implementierungen erleichtern.Table of ContentsEinführung.- Globale Bewegungen.- Deformationen.- Warping und Morphing.- Gesichtsanimation.- Prozedurale Animationstechniken.- Motion Capturing und Motion Editing.- Modellierung und Animation von Naturerscheinungen.- Modellierung und Animation von Stoffen.- Animationen mit neuronalen Netzen.- Physikalisch-basierte Animation mechanischer Systeme.

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Book SynopsisDas Internet und insbesondere dessen kommerzielle Nutzung werden großen Einfluß auf das private und öffentliche Leben haben. Eine entscheidende Rolle bei der kommerziellen Weiterentwicklung haben elektronische Zahlungssysteme, die die Bezahlung von Waren und Dienstleistungen über das globale Internet ermöglichen. Dieses Buch bietet einen Überblick über die derzeit verfügbaren Zahlungssysteme im Internet und die zukünftige Entwicklung in diesem Bereich. Der Leser wird schrittweise von der zugrundeliegenden Technik bis zur detaillierten Beschreibung der Zahlungssysteme im Internet geführt. Neben den technischen Aspekten betrachtet das Buch auch rechtliche Probleme bei der Verwendung der vorgestellten Systeme, bewertet deren Marktchancen und stellt Kostenmodelle vor.Trade Review" "Digital Cash", von drei Internet-Experten geschrieben, bietet eine knappe Einführung in das Thema. Dabei geht es nicht nur um digitales Bargeld.Vorgestellt werden auch Arten der Kreditkartenzahlung und der Bezahlung über Kundenkonten. Die entscheidende Frage lautet immer: Wie kann verhindert werden, daß Ungebetene den virtuellen Geldbeutel plündern? Die Autoren fördern überraschende Ergebnisse zutage."(Handelsblatt)"...Alles in allem: eine knappe, leicht verständliche und trotzdem umfassende Übersicht..."(Buissiness Online) "...Praktische Wegweisung durch den undurchschaubaren Verfahrensdschungel..." "...Kenntnisreich und verständlich für Internetlaien und - experten, umsichtig,akzentuiert und doch differenziert..."(Lebensmittel Zeitung)Table of Contents1 Internet und Electronic Commerce.- 1.1 Eine kurze Geschichte des Internet.- 1.2 Sicherheitsprobleme im Internet.- 1.3 Elektronische Kaufvorgänge.- 1.4 Zahlungssysteme.- 2 Technische Grundlagen.- 2.1 Einführung.- 2.2 Sichere Nachrichtenübertragung.- 2.2.1 Symmetrische Verschlüsselungsverfahren.- 2.2.2 Asymmetrische Verschlüsselungsverfahren.- 2.2.3 Hybride Verfahren.- 2.3 Authentische Nachrichtenübertragung.- 2.3.1 Asymmetrische Verschlüsselungsverfahren.- 2.3.2 Digitale Signatur.- 2.3.3 Dual Signature.- 2.3.4 Challenge Response.- 2.4 Schlüsselmanagement.- 2.4.1 Schlüsselmanagement mit Hilfe von Zertifikaten.- 2.4.2 Kerberos.- 2.5 Anonymität und Kopierschutz bei digitalem Bargeld.- 2.5.1 Anonymität durch Kryptologie.- 2.5.2 Kopierschutz durch Aufhebung der Anonymität.- 2.6 Weitere Verfahren.- 2.6.1 One Time Pad.- 2.6.2 Steganographie.- 3 Rahmenbedingungen für Electronic Commerce.- 3.1 Technische Voraussetzungen.- 3.2 Rechtliche Probleme.- 3.2.1 Verwendung von Kryptographie.- 3.2.2 Digitale Signatur.- 3.2.3 Datenschutz.- 3.3 Interessensgruppen.- 3.3.1 Kunde.- 3.3.2 Händler.- 3.3.3 Systemarchitekt.- 3.3.4 Systembetreiber.- 3.3.5 Banken (Herausgeber).- 3.3.6 Zertifizierungsstellen/Trust-Center.- 3.4 Chancen.- 4 Analyse elektronischer Zahlungssysteme.- 4.1 Kategorisierung.- 4.1.1 Kreditkartenzahlung über das Internet.- 4.1.2 Zahlung über Kundenkonten.- 4.1.3 Zahlung mit digitalem Bargeld.- 4.2 Systemeigenschaften eines elektronischen Zahlungssystems.- 4.2.1 Sicherheit.- 4.2.2 Skalierbarkeit.- 4.2.3 Mikrozahlungen.- 4.2.4 Bedienbarkeit.- 4.2.5 Kleinhändler.- 4.2.6 Anonymität.- 4.3 Kreditkartenzahlung.- 4.3.1 Sichere Übertragungsprotokolle.- 4.3.2 Secure Electronic Transaction.- 4.3.3 CyberCash.- 4.4 Zahlung über Kundenkonten.- 4.4.1 Online-Dienste.- 4.4.2 Geschlossene elektronische Marktplätze.- 4.4.3 First Virtual.- 4.4.4 NetCheque.- 4.5 Digitales Bargeld.- 4.5.1 Grundprinzip.- 4.5.2 DigiCash.- 4.5.3 NetCash.- 4.5.4 Chipkarte als elektronische Geldbörse.- 4.5.5 Millicent.- 5 Bewertung der Zahlungssysteme.- 5.1 Technische Aspekte.- 5.1.1 Kreditkartenzahlung im Internet.- 5.1.2 Zahlung über Kundenkonten.- 5.1.3 Digitales Bargeld.- 5.2 Kosten.- 5.2.1 Kreditkartenzahlung im Internet.- 5.2.2 Zahlung über Kundenkonten.- 5.2.3 Digitales Bargeld.- 5.3 Rechtliche Aspekte.- 5.3.1 Kreditkartenzahlung im Internet.- 5.3.2 Zahlung über Kundenkonten.- 5.3.3 Digitales Bargeld.- 6 Zukünftige Entwicklung.- 6.1 Kreditkartenzahlung.- 6.2 Zahlung über Kundenkonten.- 6.3 Digitales Bargeld.- 6.4 Zusammenfassung und Ausblick.- Anhang A. Chipkarten.- Anhang B. Chipkartenbasierte Zahlungssysteme.- Anhang C. Glossar.- Anhang D. Informationsquellen zu Zahlungssystemen im Internet.- Anhang E. Quellenverzeichnis.- Anhang F. Stichwortverzeichnis.

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Book SynopsisDieses Buch stellt Methoden der Begrifflichen Wissensverarbeitung vor und präsentiert Anwendungen aus unterschiedlichen Praxisfeldern. Im Methodenteil wird in moderne Techniken der Begrifflichen Datenanalyse und Wissensverarbeitung eingeführt. Hierbei werden die mathematischen Grundlagen abgehandelt und durch zahlreiche Beispiele anschaulich gemacht. Der zweite Teil des Buches richtet sich verstärkt an potentielle Anwender. An ausgewählten Anwendungen wird die Vorgehensweise bei der Datenanalyse und dem Information Retrieval mit den Methoden der Begrifflichen Wissensverarbeitung vorgestellt und ihr Potential aufgezeigt.Table of ContentsI: Methoden der Begrifflichen Wissensverarbeitung.- Begriffe und Implikationen.- ConImp - Ein Programm zur Formalen Begriffsanalyse.- Ähnlichkeit als Distanz in Begriffsverbänden.- Datenanalyse mit Fuzzy-Begriffen.- Terminologische Merkmalslogik in der Formalen Begriffsanalyse.- II: Anwendungen der Begrifflichen Wissensverarbeitung.- Formale Begriffsanalyse im Software Engineering.- Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse.- Inhaltliche Erschließung des Bereichs 'Sozialorientierte Gestaltung von Informationstechnik' - Ein begriffsanalytischer Ansatz.- Wissensdarstellungen in Informationssystemen, Fragetypen und Anforderungen an Retrievalkomponenten.- Ein TOSCANA-Erkundungssystem zur Literatursuche.- Ein Erkundungssystem zum Baurecht: Methoden der Entwicklung eines TOSCANA-Systems.- Begriffliche Erkundung semantischer Strukturen von Sprechaktverben.- Grundwerte, Ziele und Maßnahmen in einem regionalen Krankenhaus - Eine Anwendung des Verfahrens GABEK.- Normen- und regelgeleitete internationale Kooperationen - Formale Begriffsanalyse in der Politikwissenschaft.- Entwicklung eines kontextuellen Methodenkonzeptes mit Hilfe der Formalen Begriffsanalyse an Beispielen zum Risikoverständnis.- Über Möglichkeiten der Formalen Begriffsanalyse in der Mathematischen Archäochemie.

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Book SynopsisIn dem Band werden 50 Enterprise Architecture Frameworks (EAF) ausführlich behandelt und 45 weitere hinsichtlich ihrer Intention kurz und prägnant dargestellt. Die detaillierten Beschreibungen erlauben durch ein einheitliches Raster den Vergleich unterschiedlicher EAF. Sie enthalten Informationen zum Entwickler, zu Versionen, zur Marktrelevanz, zu Abhängigkeiten, Verfügbarkeit, unterstützenden Tools sowie Anschaffungskosten. Die Unterstützungsvielfalt, die Frameworks bieten, demonstriert der Autor anhand eines Anwendungsszenarios.Trade ReviewAus den Rezensionen: “... Das Buch empfiehlt sich allen Verantwortlichen, welche vor der architekturgeleiteten Umsetzung eines IT-Projekts stehen oder eine aktuelle IT-Strategie zu entwickeln haben, da es die Entscheidungsfindung dank seiner strukturierten Herangehensweise effektiv unterstutzt. ... Da dieses Buch von einer aktuellen Website begleitet wird, sind nicht nur weiterführende Informationen, sondern auch ein interaktives Navigationssystem nach der Registrierung einfach zuganglich. Lehrende finden dort detaillierte Framework-Beschreibungen, Übungs- und Vortragsmaterialien sowie eine Orientierungshilfe als Druckvorlage ...“ (WI Wirtschaftsinformatik www.wirtschaftsinformatik.de, June/2012)Table of ContentsEinleitung.- Einführung eines grundlegenden Begriffsverständnisses.- Recherche und Ordnung der Enterprise Architecture Frameworks.- Grundlagen für die Beschreibung ausgewählter Rahmenwerke im Interesse des Informationsmanagers.- Detaillierte Beschreibung ausgewählter Rahmenwerke.- Exemplarische Umsetzung einzelner Rahmenwerke innerhalb eines fiktiven Anwendungsszenarios.- Anhang A: Konspekt zum Grundlagenkapital Rahmenwerke.- Anhang B: Framework Selection Guide.- Literaturverzeichnis.- Index.

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Book SynopsisSince human beings have been writing it seems there has been plagiarism. It is not something that sprouted with the advent of the Internet. Teachers have been struggling for years in countries all over the globe to find good methods for dealing with the problem of plagiarizing students. How do we spot plagiarism? How do we teach them not to plagiarize? And how do we deal with those who have been found out to be plagiarists? The purpose of this book is to collect material on the various aspects of plagiarism in education with special attention given to the German problem of dissertation plagiarism. Since there is a wide-spread interest in the German plagiarism situation and in strategies for dealing with it, the book is written in English in order to be accessible to a larger audience.Table of ContentsIntroduction.- Plagiarism and Scientific Misconduct.- Plagiarism in Germany.- Plagiarism Detection.- Plagiarism Avoidance.- Plagiarism Policies and Procedures Abroad.- Plagiarism Perspective.- The future?.- Works Cited.- Appendix.

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Book SynopsisLankhorst and his co‑authors present ArchiMate® 3.0, enterprise modelling language that captures the complexity of architectural domains and their relations and allows the construction of integrated enterprise architecture models. They provide architects with concrete instruments that improve their architectural practice. As this is not enough, they additionally present techniques and heuristics for communicating with all relevant stakeholders about these architectures. Since an architecture model is useful not only for providing insight into the current or future situation but can also be used to evaluate the transition from ‘as‑is’ to ‘to‑be’, the authors also describe analysis methods for assessing both the qualitative impact of changes to an architecture and the quantitative aspects of architectures, such as performance and cost issues.The modelling language presented has been proven in practice in many real‑life case studies and has been adopted by The Open Group as an international standard. So this book is an ideal companion for enterprise IT or business architects in industry as well as for computer or management science students studying the field of enterprise architecture.This fourth edition of the book has been completely reworked to be compatible with ArchiMate® 3.0, and it includes a new chapter relating this new version to other standards. New sections on capability analysis, risk analysis, and business architecture in general have also been introduced.Table of ContentsIntroduction to Enterprise Architecture.-State of the Art.- Foundations.- Communication of Enterprise Architectures.- A Language for Enterprise Modelling.- Combining ArchiMate with Other Standards and Approaches.- Guidelines for Modelling.- Viewpoints and Visualisation.- Architecture Analysis.- Architecture Alignment.- Tool Support.- Case Studies.- Beyond Enterprise Architecture.- Appendix.- References.- Index.

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Book SynopsisLankhorst and his co‑authors present ArchiMate® 3.0, enterprise modelling language that captures the complexity of architectural domains and their relations and allows the construction of integrated enterprise architecture models. They provide architects with concrete instruments that improve their architectural practice. As this is not enough, they additionally present techniques and heuristics for communicating with all relevant stakeholders about these architectures. Since an architecture model is useful not only for providing insight into the current or future situation but can also be used to evaluate the transition from ‘as‑is’ to ‘to‑be’, the authors also describe analysis methods for assessing both the qualitative impact of changes to an architecture and the quantitative aspects of architectures, such as performance and cost issues.The modelling language presented has been proven in practice in many real‑life case studies and has been adopted by The Open Group as an international standard. So this book is an ideal companion for enterprise IT or business architects in industry as well as for computer or management science students studying the field of enterprise architecture.This fourth edition of the book has been completely reworked to be compatible with ArchiMate® 3.0, and it includes a new chapter relating this new version to other standards. New sections on capability analysis, risk analysis, and business architecture in general have also been introduced.Table of ContentsIntroduction to Enterprise Architecture.-State of the Art.- Foundations.- Communication of Enterprise Architectures.- A Language for Enterprise Modelling.- Combining ArchiMate with Other Standards and Approaches.- Guidelines for Modelling.- Viewpoints and Visualisation.- Architecture Analysis.- Architecture Alignment.- Tool Support.- Case Studies.- Beyond Enterprise Architecture.- Appendix.- References.- Index.

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Book SynopsisThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.Table of ContentsInteroperable Data Extraction and Analytics Queries over Blockchains.- Exploiting Twitter for Informativeness Classification in Disaster Situations.- COTILES: Leveraging Content and Structure for Evolutionary Community Detection.- A Weighted Feature-Based Image Quality Assessment Framework in Real-Time.- Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data.- Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.- Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center.- A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector

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Book SynopsisThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final usersThis is an open access book.

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Book SynopsisImagine you are a business user, consultant, or developer about to enter an SAP S/4HANA implementation project. You are well-versed with SAP''s product portfolio and you know that the preferred reporting option in S/4HANA is embedded analytics. But what exactly is embedded analytics? And how can it be implemented? And who can do it: a business user, a functional consultant specialized in financial or logistics processes? Or does a business intelligence expert or a programmer need to be involved? Good questions!This book will answer these questions, one by one. It will also take you on the same journey that the implementation team needs to follow for every reporting requirement that pops up: start with assessing a more standard option and only move on to a less standard option if the requirement cannot be fulfilled. In consecutive chapters, analytical apps delivered by SAP, apps created using Smart Business Services, and Analytical Queries developed either using tiles or in a Table of ContentsChapter 1: Before the Work Starts Chapter Goal: Miscellaneous intro topics. No of pages: 40 Sub -Topics 1. Business Intelligence: the art of enriching data 2. HANA changing the OLTP versus OLAP game 3. Cloud flavors: SaaS versus IaaS 4. The latest thing: CDS-views 5. Frontend: Fiori and UI5 6. SAP’s BI portfolio 7. S/4HANA and Embedded Analytics Chapter 2: No Work: Use What is Delivered Chapter Goal: S/4HANA comes with rich analytical apps that can be used immediately. This chapter focuses on the content delivered by SAP. No of pages: 20 Sub - Topics 1. Discover analytical apps 2. Activate them 3. Use them Chapter 3: Some Work: Smart Business Service Chapter Goal: S/4HANA has built-in functions for codeless creation of simple analytical apps. Target group of these functions are power users, but in practice functional (non-BI) consultants are most suitable to use this functionality. Functions are made available as a group of Fiori-tiles under the product name “Smart Business Service”. No of pages : 30 Sub - Topics: 1. Tiles “KPI Design”2. Tiles “Report Design”3. Tile “Analysis Path Framework Modeling”4. The end-result: again tilesChapter 4: More Work: Building Analytical Queries Using TilesChapter Goal: S/4HANA comes with tiles to create so-called “Analytical Queries” starting from SAP-delivered CDS-views. Analytical Queries are not static reports, but versatile, interactive queries on real-time data.For the SaaS version of S/4HANA, this is the only option to create Analytical Queries.No of pages: 40Sub - Topics: 1. Discovery of SAP-delivered CDS-views with tile “View Browser”2. Enriching CDS-views with tiles “Custom CDS Views”3. Building an Analytical Query with tile “Custom Analytical Query”4. Running the query with tile “Query Browser”5. How to navigate within an Analytical Query.6. Creating a dedicated tile for the query Chapter 5: Most Work: Building Analytical Queries in a Development EnvironmentChapter Goal: Starting from real-life business requirements, often the conclusion is reached that SAP-delivered CDS-views won’t do the trick. For a SaaS version of S/4HANA, the process following this conclusion is called “managing expectations”. For an on-premise version, a development environment can be applied. And then … the sky is the limit! Development can start not only from SAP-delivered CDS-views but also from tables.No of pages: 60Sub - Topics: 1. Layered approach towards the analytical query2. Data-integration3. “Cube-view”4. Analytical query5. Examples transaction data6. Examples master data7. Example: Replacing custom ABAP-report by analytical query8. Performance considerations; balance between performance and support-friendliness9. Access and data authorizationChapter 6: Extensibility, OData and BeyondChapter Goal: Miscellaneous outro topics related to Embedded AnalyticsNo of pages: 20Sub - Topics: 1. S/4HANA Extensibility2. OData and APIs3. Agile development and Devops 4. Ideal skill-set for an Embedded Analytics expert

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Book SynopsisLearn all about designing, installing, configuring, and managing VMware Horizon, with a core focus on how to deliver virtual desktops using Horizon. This book allows you to follow the complete process for deploying VMware Horizon and covers the design, deployment, and management of solutions. You''ll start by reviewing remote solutions, from virtual desktops to published applications, including the benefits and what the different solutions deliver. Once through the high-level technology you''ll then look at the VMware Horizon solution focusing on the architecture and the components that make up the solution and how to design a production-ready environment.  Other VMware EUC technologies that complement the core Horizon solution will also be incorporate into it. Armed with the knowledge of how to design a solution, you''ll move onto the installation phase and start to build a test lab environment. Once your lab is installed, you''ll move onto the configurTable of ContentsChapter 1: What Are Remote Desktop Solutions?Chapter 2: Getting Started with VMware HorizonChapter 3: Architecting Horizon for DeploymentChapter 4: Installing and Configuring Your Horizon EnvironmentChapter 5: Creating Virtual Desktop Images for DeploymentChapter 6: Building and Configuring Desktop PoolsChapter 7: Managing Horizon with Active Directory GPOsChapter 8: Horizon Computer GPOs Settings (split from chapter 7)Chapter 9: Horizon User GPO Settings (split from chapter 7)Chapter 10: Managing the End User Environments (former chapter 8)Chapter 11: Horizon Apps (former chapter 9)Chapter 12: Horizon Published Desktop (former chapter 10) Chapter 13: Connecting End Users (former chapter 11)Chapter 14: Horizon Enterprise Edition (former chapter 12)Chapter 15: Upgrading Horizon (former chapter 13)Chapter 16: Running Horizon in the Cloud (former chapter 14)Chapter 17: Horizon Troubleshooting (former chapter 15) Online Resource: Advanced Configuration and Management (former chapter 16)

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Book SynopsisThis book is designed to serve as a textbook for courses offered to undergraduate students enrolled in Electrical Engineering and related disciplines. The book provides a comprehensive coverage of linear system theory. In this book, the concepts around each topic are well discussed with a full-length presentation of numerical examples. Each example is unique in its way, and it is graded sequentially. This book highlights simple methods for solving problems. Even though, the subject requires a very strong mathematical foundation, wherever possible, rigorous mathematics is simplified for a quick understanding of the basic concepts. The book also includes select numerical problems to test the capability of the students. Time and frequency domain approaches for the analysis and design of linear automatic control systems have been explained using state-space and transfer function models of physical systems. All the chapters include a short theoretical summary of the topic followed by exercises on solving complex problems using MATLAB commands. In addition, each chapter offers a large number of end-of-chapter homework problems. This second edition includes a new chapter on state-space modeling and analysis. Detailed conceptual coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.Trade Review“This apparently impressive book (908 pages) is in fact a textbook for undergraduates in automatic control, strongly relying on the courses taught in the Engineering Colleges of India … . This fact can ensure an impressive number of readers … . The book has no Reference list but the field tackled by it is covered by many references, much more recent than the classical aforementioned ones.” (Vladimir Răsvan, zbMATH 1496.93002, 2022)Table of ContentsChapter 1. Control Systems Modelling and their Representation.- Chapter 2. Time Response Analysis.- Chapter 3. Frequency Response Analysis.- Chapter 4. Stability Analysis of Linear Control System.- Chapter 5. Root Locus Method for Analysis.- Chapter 6. Design of Compensators.- Chapter 7. State Space Modelling and Analysis.

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Book SynopsisGiven the broad popularity of Internet technology, even in its present immature state, and also the recent progress made towards a human-centered view of information technology, the time now seems ripe to essentially extend the scope and power of enterprise information systems.This carefully arranged book concentrates on the relationships between coordination technology and business application requirements and introduces general elements of a cooperative infrastructure allowing for the construction of collaborative applications. It is essential reading for research and development professionals active in the area as well as for IT managers interested in applying this promising new technology in order to remain competitive in the future.Table of ContentsA perspective on technology-assisted collaboration.- Coordination in knowledge-intensive organizations.- Co-ordination of management activities — Mapping organisational structure to the decision structure.- A cooperative approach to distributed applications engineering.- Towards logic programming based coordination in virtual worlds.- Enhancement of creative aspects of a daily conversation with a topic development agent.- Coordinating human and computer agents.- Coordination in workflow management systems — A rule-based approach.- A framework and mathematical model for collaboration technology.- Practical experiences and requirements on workflow.- Coordination science: Challenges and directions.- Supporting autonomous work and reintegration in collaborative systems.- Workspace awareness for distributed teams.- GeM and WeBUSE: Towards a WWW-database interface.- Post-client/server coordination tools.- An experimental delay analysis for local audio video streams for desktop collaborations.- Supporting both client-server and peer-to-peer models in a framework of a distributed object management system.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th KES International Conference on Agent and Multi-Agent Systems, KES-AMSTA 2012, held in Dubrovnik, Croatia, in June 2012. The conference attracted a substantial number of researchers and practitioners from all over the world who submitted their papers for ten main tracks covering the methodology and applications of agent and multi-agent systems, one workshop (TRUMAS 2012) and five special sessions on specific topics within the field. The 66 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on virtual organizations, knowledge and learning agents, intelligent workflow, cloud computing and intelligent systems, self-organization, ICT-based alternative and augmentative communication, multi-agent systems, mental and holonic models, assessment methodologies in multi-agent and other paradigms, business processing agents, Trumas 2012 (first international workshop), conversational agents and agent teams, digital economy, and multi-agent systems in distributed environments.

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Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.Table of ContentsFast conference proceedings.-State-of-the-art report.-Up to date results

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Book SynopsisBusiness Process Management (BPM) has become one of the most widely used approaches for the design of modern organizational and information systems. The conscious treatment of business processes as significant corporate assets has facilitated substantial improvements in organizational performance but is also used to ensure the conformance of corporate activities. This Handbook presents in two volumes the contemporary body of knowledge as articulated by the world's leading BPM thought leaders. This second volume focuses on the managerial and organizational challenges of BPM such as strategic and cultural alignment, governance and the education of BPM stakeholders. As such, this book provides concepts and methodologies for the integration of BPM. Each chapter has been contributed by leading international experts. Selected case studies complement their views and lead to a summary of BPM expertise that is unique in its coverage of the most critical success factors of BPM.The second edition of this handbook has been significantly revised and extended. Each chapter has been updated to reflect the most current developments. This includes in particular new technologies such as in-memory data and process management, social media and networks. A further focus of this revised and extended edition is on the actual deployment of the proposed theoretical concepts. This volume includes a number of entire new chapters from some of the world's leading experts in the domain of BPM. Table of ContentsStrategic Alignment.- Governance.- People and culture.

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Book SynopsisTrade Review"Crymble seamlessly integrates print, digital, oral history, and interactive source material to document the ways historians have responded, both individually and as an imagined community, to the social contexts that have shaped our interactions with technology." --Journal of American History "Crymble gives me a greater appreciation for how my own course in ‘digital history’ fits within and reflects broader patterns of discourse about technology and the past." --Corinthian Matters "This book explodes many of the foundation myths upon which digital history has been built; and replaces them with a clear-eyed account that melds historiography, technology, and pedagogy. In beautiful prose Crymble has identified the streams of influence that have shaped the field."--Tim Hitchcock, University of SussexTable of ContentsCoverTItleCopyrightContentsAcknowledgmentsIntroduction1. The Origin Myths of Computing in Historical Research2. The Archival Revisionism of Mass Digitization3. Digitizing the History Classroom4. Building the Invisible College5. The Rise and Fall of the Scholarly Blog6. The Digital Past and the Digital FutureAppendix: Digital History Syllabus Corpus (2002–2017)Glossary: A New VocabularyNotesBibliographyIndexBack cover

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Book SynopsisExpert Facebook advertising techniques you won''t find anywhere else! Facebook has exploded to a community of more than half a billion people around the world, making it a deliciously fertile playground for marketers on the cutting edge. Whether you want to leverage Facebook Ads to generate Likes, promote events, sell products, market applications, deploy next-gen PR, ,this unique guide is the ultimate resource on Facebook''s wildly successful pay-per-click advertising platform. Featuring clever workarounds, unprecedented tricks, and little-known tips for triumphant Facebook advertising, it's a must-have on the online marketer's bookshelf. Facebook advertising expert Marty Weintraub shares undocumented how-to advice on everything from targeting methods, advanced advertising techniques, writing compelling ads, launching a campaign, monitoring and optimizing campaigns, and tons more. Killer Facebook Ads serves up immediately actionable tips & tactics that span the gambiTrade Review'Weintraub hits a home run with this book, and if you advertise anywhere online, you will definitely benefit from reading it . Management-Issues.com, 23/11/11.Table of ContentsIntroduction xix Chapter 1 Marketing and the Facebook Revolution 1 Facebook's Reach 2 Understanding the Social Graph 7 What Marketers Can and Can't Do With Facebook Ads 10 The Ethical Marketer’s Rules of Engagement 14 Chapter 2 Key Performance Indicators (KPIs) 19 Setting Expectations 20 Defining KPIs 21 Facebook Ads and Attribution 33 Chapter 3 The Facebook Ad Creation UI 35 Web UI and Power Editor 36 Module 1: Design Your Ad 36 Module 2: Facebook’s Powerful Targeting 37 Module 3: Campaigns, Pricing, and Scheduling 63 Chapter 4 Facebook Ads Production Workflow 65 Power Editor 66 Understanding Account Structure 66 First Step: Wireframe Demographic Research 69 Second Step: Create Your First Ads 69 Structural Best Practices 72 Chapter 5 Guerilla User Targeting Checklist 77 Literal, Competitive, and Inferred Targeting 78 Occupations and Employment 86 Real-Life Groups and Affiliations 90 Online, Off Facebook . 99 Product Categories . 102 Classic Mainstream Interests 104 Chapter 6 Mastering Compound Targeting 111 Age, Interest, and Gender Mashups 112 Workplace and Precise Interest Amalgamations . 115 Education and Interest Amalgamations 119 Sexuality, Relationship Status, and Interests . 121 Country + Language + Interest Combinations 123 Chapter 7 Creating Killer Facebook Ads 127 The Five Levels of Brand Clarity 128 Headlines 130 Ad Images 140 Putting It All Together with Body Copy 147 Chapter 8 Deploying Your Facebook Ads Campaign 155 Facebook Ads Finances 156 Landing Page Considerations 163 Final Prelaunch Checklist 172 Chapter 9 Field Guide to Optimization and Reporting 173 Introducing Ads Manager 174 Navigating Facebook Ads Manager 174 Optimization 184 Facebook Reports 194 Wrapping Up and Looking Forward 201 Appendix A Facebook Ads Preflight Pocket Checklist 205 Appendix B The Great Big Search & Social Media Marketing Twitter Follow List 209 Appendix C Facebook Targeting Segments 219 Fortune 500 Companies 220 Job Titles 222 Weapons 225 Tech and Gaming 226 Interests Bucket Family Roles 228 Health 229 Outdoor Activities 231 Winter Sports and Activities 234 Sports 236 Green Living 238 Wine 239 Home/Garden 239 Discount 240 Tough Times 240 Music 241 Hobbies 242 Business 242 Chatting/RPG 243 Media with Cult Followings 244 Index 249

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Book SynopsisThe ultimate guide to Google AdWords is fully updated for its third edition This is the ultimate guide for those who want to quickly get beyond AdWords basics to learn and apply the advanced techniques and tactics that are used by Fortune 500 companies.Table of ContentsForeword xxxi Introduction xxxiii Chapter 1 Understanding Search Theory 1 The Origins of Google AdWords 2 Google Enters the Arena 5 Google AdWords Select Revolutionizes PPC 6 The Psychology of Search 7 Turning Concepts into Words 8 Understanding Search Results 10 The Purpose of Ad Copy 11 Landing Pages Lead to New Customers 12 Advertising Is Not Advertising When It Is Information 14 Goal Alignment: Google vs. You vs. the Searcher 15 Best Practices for Applying Search Theory 17 Chapter 2 Performing Keyword Research 19 Understanding the Buying Funnel 20 Examining the Buying Funnel Phases 21 How Do Consumers Flow Through Your Buying Funnel? 22 Understanding Keywords 23 Types of Commercial Keywords 24 Finding Keyword Ideas 26 How Many Keywords Should You Have in Your Account? 29 Creating Keyword Lists 31 Using Long-Tail Keywords 33 Wide vs. Deep Keywords 35 Discerning Keyword Match Types 36 Broad Match 37 Modified Broad Match 38 When Should You Use Broad Match? 40 Phrase Match 40 Exact Match 42 Variation Match 43 Which Match Type Is Best? 44 Using Negative Match 46 Implementing Negative Keywords 46 Negative Broad Match 49 Negative Phrase Match 50 Negative Exact Match 51 Putting Negative and Positive Keywords Together 52 Researching Negative Keywords 53 Using Advanced Organizational Techniques 55 Adding Multiple Match Types to the Same Ad Group 55 Restricting Match Types by Ad Group 56 Restricting Match Types by Campaign 56 Taking Control of Your Ad Display 57 Best Practices for Conducting Keyword Research 58 Chapter 3 Keyword Tools: Extracting Valuable Data from Google 59 AdWords Keyword Planner 60 Generating Keyword Ideas 61 Advanced Options and Filters 65 Ad Group and Keyword Ideas 69 Traffic Estimates 76 AdWords Keyword Planner vs Third-Party Keyword Tools 82 Google Trends 83 What Services Should You Offer? 85 Determining Your Messaging 87 Determining Consumer Interest 88 Bing Ads Intelligence 89 Best Practices for Using Keyword Tools 90 Chapter 4 Writing Compelling Ads 93 Do Your Ads Reflect the Search Query? 94 Writing Effective Ads 96 Calls to Action 97 Touching the Emotional Core 98 Following Google’s Editorial Guidelines 99 Character Lengths 99 Editorial Requirements 100 Developing Unique Selling Propositions 102 Distinguishing Features and Benefits 103 Benefits, Features, and the Buying Funnel 104 When to Use a Feature vs. a Benefit 105 Employing Themes That Get Clicks 106 Utilizing Numbers in Ads 107 How Strong Is Your Call to Action? 110 Writing Informational Ad Copy 111 Utilizing Negative Ad Copy 114 Do Not Forget the Display URL 114 Controlling Your Mobile Ads 116 Spicing Up Your Ads with Ad Extensions 118 Sitelink Extensions 118 Call Extensions 125 Additional Extensions 127 Limited Betas for New Extensions 129 Showcasing Your Products with PLAs 129 Following the Law: Trademarks 131 Trademark Exceptions 134 The Quest for the Holy Grail of Advertising 135 Best Practices for Writing Compelling Ads 136 Chapter 5 Creating Landing Pages That Convert Searchers into Buyers 139 Does Your Landing Page Answer the Searcher’s Question? 140 Everything about Destination URLs 142 Using Destination URLs for Tracking 144 Complying with Destination URL Editorial Policies 151 Choosing Landing Pages That Increase Conversion Rates 152 Choosing Landing Pages Based on the Type of Query 153 Differentiating Local Business Queries 157 Using Segmentation Pages 159 Using Forms as Landing Pages 160 Thanking Your Customers 162 Crafting Perfect Landing Pages 164 Employing Usability, Trust, and Web Technology 164 Using Web Technology to Implement Usability and User Security 165 Psychological Factors That Increase Conversion Rates 173 Your Website’s Usability Goals 180 Best Practices for Landing Pages 181 Chapter 6 Learning Advanced Optimization Techniques 183 Optimizing for Traffic 184 Exploring Strategies to Show Your Ads More Often 184 Taking Advantage of Dynamic Keyword Insertion 190 Increasing Page Views 194 Optimizing for Conversions 198 Writing Ad Copy That Sells 199 Creating Landing Pages That Increase Conversions 200 Making Additional Conversions to Increase Your Profits 210 Best Practices for Advanced Optimization Techniques 213 Chapter 7 Demystifying Quality Score 215 What Is Quality Score? 216 How Quality Score Affects Ad Rank 218 Quality Score Factors for Search 221 Viewing Your Quality Score 225 Landing Page Quality: Making Your Pages Relevant 228 Spiderability 228 Relevance 229 Transparency 230 Navigation 230 Estimating Your First Page Bid 231 Understanding the Display Network Quality Score 233 Quality Score for Managed Placements 234 Diagnosing Your Quality Scores 235 Ignoring Quality Score 240 Increasing Quality Scores 243 Creating Highly Relevant Ad Groups 244 Ad Testing to Increase Quality Scores 246 Landing Page Fixes 248 What to Do if Your Quality Score Drops 249 Quality Score FAQs 251 Best Practices for Optimizing Quality Scores 254 Chapter 8 Beyond Text: Employing Image, Video, and Mobile Ads 257 Beyond the Desktop: Creating Mobile Ads 258 Reaching Smartphone Users 258 Smartphone Extensions 261 Reaching Other Mobile Users: WAP Mobile Ads 262 Ad Preview and Diagnosis Tool 264 Beyond Static Text: Creating Rich Media Ads 266 Creating Effective Image Ads 266 Developing Profitable Video Ads 272 AdWords Ad Gallery 275 Best Practices for Employing Image, Video, Mobile Ads 278 Chapter 9 Understanding the Display Network 279 What Is the Display Network? 280 Advantages of the Display Network 281 Display Targeting Methods 282 Automatic vs. Managed Placements 283 Creating Search- and Display-Only Campaigns 284 Managing Ad Group Targeting 285 Creating a Successful Display Network Campaign 286 Creating Keyword-Based Display Ad Groups 287 Display Network Topic Targeting 292 Targeting Ads Based on a User’s Interest 296 Placement Targeting: Choose the Actual Sites Where Your Ads Are Displayed 298 Blocking Your Ads from Being Shown across the Display Network 305 Determining Negative Display Keywords 309 Smart Pricing: Measure Success with Cost per Conversion 310 Choosing CPM or CPC Bidding 312 Using the Display Planner Tool 314 Best Practices for the Display Network 320 Chapter 10 Utilizing Advanced Display Network Techniques 323 Remarketing: Bringing Visitors Back to Your Site 324 Define an Audience 324 Place the Script on Your Site 328 Create a Remarketing Ad Group 330 The 100 Cookie Rule 332 Remarketing Strategies 332 Don’t Creep Out Your Customers 340 Flexible Targeting: Mixing and Matching Every Display Targeting Option 341 Flexible Targeting Options 342 Bid Modifiers for Display 344 Flexible Bidding Examples 345 Optimizing Your Display Campaigns 351 Organizing Your Display Campaigns 353 Creating Scenarios to Understand and Reach Your Target Audience 357 Writing Effective Display Ads 359 Best Practices for Advanced Display Network Advertising 361 Chapter 11 Utilizing Advanced Geographic Targeting Techniques 363 What Is Geographic Targeting? 364 The Technology behind Location Targeting 364 How Accurate Is Location Targeting? 366 Reaching Users in Specific Locations 369 Finding Locations to Target 370 Radius Targeting 374 Location Groups and Bid Modifiers 375 Advanced Location Targeting Options 376 Location Targeting Considerations 378 Targeting Multiple Countries 378 Reaching Users in an Area Smaller than a Country 380 Treating Locals and Nonlocals Differently in Your Ad Copy 385 Automatically Inserting Your Address into the Ad Copy 387 A Case Study into Local Belief Systems 390 Viewing Geographic Results 391 Geographic Performance Reports 393 Best Practices for Geographic Targeting 396 Chapter 12 Saving Time and Scaling Accounts with AdWords Editor 399 AdWords Editor Overview 400 Choosing Your Viewpoint 400 Viewing Your Account in AdWords Editor 404 Scaling Your Account 408 Importing Keywords 409 Creating Thousands of Keywords and Ad Groups 411 Easily Creating Thousands of Ads 414 Optimizing Display with AdWords Editor 420 Best Practices for Using AdWords Editor 421 Chapter 13 Devising Profitable Bid Strategies 423 Setting Your Marketing Goals 424 Measuring Results with Google’s Conversion-Tracking Code 425 AdWords Conversion-Tracking Code 426 Google Analytics Tracking 430 Accessing Valuable Conversion Data in AdWords Reports 432 Tracking Phone Calls 434 Exploring AdWords Bidding Options 435 Focus on Clicks, Option 1 435 Focus on Clicks, Option 2 435 Enhanced CPC 436 Conversion Optimizer 437 Focus on Impressions 443 Flexible Bidding 443 Profitable Bidding Strategies 448 ROAS vs Profit 449 Revenue per Click 450 Taking Margins into Account 453 How Can Publishers Determine Revenue per Click? 455 Tracking Long Sales Cycles with Conversion Funnels 457 Calculating Your Max CPC 460 Setting Bids Based on ROAS 460 Bidding for Exposure 461 Bid Modifiers: Automatically Changing Bids by Time, Geography, Devices, and More 464 Location Bid Modifiers 467 Ad Scheduling: Automatically Changing Bids by Time Periods 471 Finding Conversion Information by Time Frames 473 Examples of Ad Scheduling Success 476 Creating Time-Sensitive Offers 479 Device Modifiers 480 Understanding Attribution Management 481 Examining AdWords Reports to Make ROAS Bid Decisions 484 Best Practices for Utilizing Profitable Bid Strategies 487 Chapter 14 Organizing Accounts Successfully 489 What Is an AdWords Account? 490 What Are the Limits of an AdWords Account? 490 Managing Multiple Accounts the Easy Way 491 Becoming a Google Partner 494 Developing a Successful Campaign Structure 496 Reasons to Create New Campaigns 496 Structuring Campaigns to Achieve Business Goals 497 Organizing an Ad Group to Increase CTR and Conversion Rates 513 Ad Group Organization for Mobile Bid Modifiers 515 Best Practices for Account Organization Strategies 516 Chapter 15 Implementing Testing Techniques That Will Increase Profits 519 Testing Is Essential to Increasing Profits 520 Testing Ad Copy to Increase Conversions 520 Ad Copy Messages You Should Test 521 Ad Copy Themes to Spark Your Creativity 521 Test Discounts Instead of Prices 522 Creating the Ad Copy Test 525 General Guidelines for Statistical Significance 527 Measuring the Results of Your Ad Test 529 Multi-Ad Group Testing 532 Testing Mobile Ads 534 Testing Landing Pages to Increase Conversions 535 Testing Where to Send Traffic 536 Landing Page Testing Factors 541 Making Ads and Landing Pages Work Together 547 Essential Items to Test First 553 Creating a Landing Page Test 553 Testing Profit per Click and Profit per Impression 556 AdWords Campaign Experiments 559 Best Practices for Testing Techniques That Will Increase Profits 561 Chapter 16 AdWords Reports: Extracting Actionable Information 563 Choosing General AdWords Report Settings 564 Customizing the Interface 564 Downloading Your Data 568 Using Reports to Optimize Your Account 571 Campaign Reports 571 Ad Group Performance Report 573 Ad Performance Report 573 Keyword Report 576 Display Network Reports 579 Dimensions Reports 581 Creating Custom Alerts 585 Best Practices for Using AdWords Reports 587 Chapter 17 Step by Step: Creating and Monitoring Your AdWords Account 589 Before You Create Your Account 590 Creating Campaigns 592 Creating Search Campaigns 593 Creating Display-Targeted Campaigns 597 Creating Managed Placements Campaigns 598 Other Campaign Types 600 Optimizing Ongoing Campaigns 601 Optimizing Search Campaigns 601 Managing Maximize Clicks Campaigns 605 Optimizing Display Campaigns 606 Optimizing Managed Placements Campaigns 608 Optimizing CPM Campaigns 609 Optimizing Other Campaign Types 611 Creating an Optimization Schedule 612 Best Practices for Creating and Managing Your AdWords Account 615 Glossary 619 Index 627

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Book SynopsisAchieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner''s guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You''ll discover how to wring every last drop of insight out of your data, and let JMP parse reams of raw numbers into actionable insight that leads to better strategic decisions. You''ll also discover why it works so well; clear explanations break down the Connectivity platform and metrics in business terms to demystify data analysis and JMP while giving you a macro view of the benefits that come from optimal implementation. The second half of the book is for your technical team, demonstrating how to implement specific solutions relating to data set development and data virtualization. In the end, your organizationTable of ContentsPreface xv Chapter 1 Generalized Context for Decision Process Improvement 1 1.1 Situational Assessment (Current State) 3 1.2 Problem Statement 11 1.3 Visualizing State Transition 15 1.4 Metrics On-Demand 20 Chapter 2 Real-Time Metrics Business Case 25 2.1 Project Description and Objectives—A Case Study 27 2.2 Solution Description 31 2.3 Cost and Benefit Analysis 34 2.4 Financial Assessment 37 2.5 Implementation Timeline 42 2.5.1 Contemplating Startup 42 2.5.2 Skills Dependencies and Timeline Consideration 44 2.5.3 Implementation Starting Point 46 2.5.4 Implementation to Deployment 49 2.6 Critical Assumptions and Risk Assessment 50 2.6.1 Critical Assumptions 50 2.6.2 Risk Assessment 51 2.7 Recommendations: Transmigrate the Enterprise 58 Chapter 3 Technical Details and Practical Implementation 63 3.1 Hardware Foundations 69 3.2 Solution Stack 70 3.3 Integration of Hardware and Software Infrastructure 72 3.4 Build Out 72 3.5 The Construction of a Metric 79 3.6 Metric Case Study 80 Chapter 4 Harvesting Benefits and Extensibility 99 4.1 Benefits Example 100 4.2 Extensibility 101 4.3 Configuration Management Version Control 102 Chapter 5 So What About a Bad Economy? 107 5.1 Overachievement—Data Virtualization 110 5.2 JMP Connection as the Universal Server 114 5.3 Well-Formed Data 117 5.4 Linked Data 120 Chapter 6 Decision Streams 133 Chapter 7 Delivery and Presentations 139 7.1 Push Versus Pull Delivery 140 7.2 Presentation 143 7.3 DIY, But Leave the Poor Bi Person Alone! 156 7.4 Advanced Presentation Method 157 Chapter 8 In Closing (As-Built) 163 Glossary 169 Appendix A Server-Side PHP Code 173 Appendix B JMP JSL Time Constant Learning Curve Script 175 Appendix C JMP GUI User Interface Code Example 181 Appendix D Resource Description Framework File Example 185 Appendix E Sample Hardware Requirements 191 Appendix F Early Warning Deliverable 193 Appendix G JMP PRO Connections: The Transversality of the Capability Maturity Model 203 G.1 Tangential Concept 204 G.2 Transversal Concept 205 G.3 Univariate to Multivariate Process Control 206 G.4 JMP Process Screening 208 G.5 Transversal Maturity Space in Relation to JMP PRO Features 210 G.6 Summary 212 References 213 Suggested Reading 217 Index 219

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Book SynopsisText As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS VTable of ContentsPreface xi Acknowledgments xiii About the Authors xv Introduction 1 Chapter 1 Text Mining and Text Analytics 3 Chapter 2 Text Analytics Process Overview 15 Chapter 3 Text Data Source Capture 33 Chapter 4 Document Content and Characterization 43 Chapter 5 Textual Abstraction: Latent Structure, Dimension Reduction 73 Chapter 6 Classification and Prediction 103 Chapter 7 Boolean Methods of Classification and Prediction 125 Chapter 8 Speech to Text 139 Appendix A Mood State Identification in Text 157 Appendix B A Design Approach to Characterizing Users Based on Audio Interactions on a Conversational AI Platform 175 Appendix C SAS Patents in Text Analytics 189 Glossary 197 Index 203

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Book SynopsisThe Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topicscentered on molecular modeling, such ascomputer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics in Volume31 include:Lattice-Boltzmann Modeling of Multicomponent Systems: An IntroductionModeling Mechanochemistry from First PrinciplesMapping Energy Transport Networks in ProteinsThe Role of Computations in CatalysisThe Construction of Ab Initio Based Potential Energy SurfacesUncertainty Quantification for Molecular DynamicsTable of ContentsList of Contributors ix Preface xi Contributors to Previous Volumes xv 1 Lattice-Boltzmann Modeling of Multicomponent Systems: An Introduction 1Ulf D. Schiller and Olga Kuksenok Introduction 1 The Lattice Boltzmann Equation: A Modern Introduction 4 A Brief History of the LBM 5 The Lattice Boltzmann Equation 7 The Fluctuating Lattice Boltzmann Equation 23 Boundary Conditions 25 Fluid–Particle Coupling 30 LBM for Multiphase Fluids 37 Governing Continuum Equations 37 Lattice Boltzmann Algorithm for Binary Fluid: Free-Energy Approach 42 Minimizing Spurious Velocities 47 Conclusions 50 References 51 2 Mapping Energy Transport Networks in Proteins 63David M. Leitner and Takahisa Yamato Introduction 63 Thermal and Energy Flow in Macromolecules 65 Normal Modes of Proteins 65 Simulating Energy Transport in Terms of Normal Modes 69 Energy Diffusion in Terms of Normal Modes 70 Energy Transport from Time Correlation Functions 73 Energy Transport in Proteins is Inherently Anisotropic 75 Locating Energy Transport Networks 77 Communication Maps 77 CURrent calculations for Proteins (CURP) 80 Applications 83 Communication Maps: Illustrative Examples 83 CURP: Illustrative Examples 89 Future Directions 98 Summary 99 Acknowledgments 100 References 100 3 Uncertainty Quantification for Molecular Dynamics 115Paul N. Patrone and Andrew Dienstfrey Introduction 115 From Dynamical to Random: An Overview of MD 118 System Specification 119 Interatomic Potentials 121 Hamilton’s Equations 123 Thermodynamic Ensembles 128 Where Does This Leave Us? 131 Uncertainty Quantification 131 What is UQ? 132 Tools for UQ 136 UQ of MD 143 Tutorial: Trajectory Analysis 143 Tutorial: Ensemble Verification 148 Tutorial: UQ of Data Analysis for the Glass-Transition Temperature 151 Concluding Thoughts 161 References 162 4 The Role of Computations in Catalysis 171Horia Metiu, Vishal Agarwal, and Henrik H. Kristoffersen Introduction 171 Screening 172 Sabatier Principle 173 Scaling Relations 175 BEP Relationship 176 Volcano Plots 180 Some Rules for Oxide Catalysts 189 Let Us Examine Some Industrial Catalysts 191 Sometimes Selectivity is More Important than Rate 191 Sometimes We Want a Smaller Rate! 191 Sometimes Product Separation is More Important than the Reaction Rate 193 Some Reactions are Equilibrium-limited 193 The Cost of Making the Catalyst is Important 194 The Catalyst Should Contain Abundant Elements 194 A Good Catalyst Should not be Easily Poisoned 195 Summary 195 References 196 5 The Construction of Ab Initio-Based Potential Energy Surfaces 199Richard Dawes and Ernesto Quintas-Sánchez Introduction and Overview 199 What is a PES? 199 Significance and Range of Applications of PESs 204 Challenges for Theory 207 Terminology and Concepts 209 The Schrödinger Equation 209 The BO Approximation 210 Mathematical Foundations of (Linear) Fitting 215 Quantum Chemistry Methods 221 General Considerations 221 Single Reference Methods 223 Multireference Methods 225 Compound Methods or Protocols 227 Fitting Methods 229 General Considerations and Desirable Attributes of a PES 229 Non-Interpolative Fitting Methods 231 Interpolative Fitting Methods 239 Applications 242 The Automated Construction of PESs 242 Concluding Remarks 248 Acknowledgements 250 Acronyms/Abbreviations 250 References 251 6 Modeling Mechanochemistry from First Principles 265Heather J. Kulik Introduction and Scope 265 Potential Energy Surfaces and Reaction Coordinates 266 Theoretical Models of Mechanochemical Bond Cleavage 268 Linear Model (Kauzmann, Eyring, and Bell) 268 Tilted Potential Energy Profile Model 270 First-Principles Models for Mechanochemical Bond Cleavage 271 Constrained Geometries Simulate External Force (COGEF) 271 Force-Modified Potential Energy Surfaces 273 Covalent Mechanochemistry 278 Overview of Characterization Methods 278 Representative Mechanophores 280 Representative Mechanochemistry Case Studies 281 Benzocyclobutene 281 gem-Difluorocyclopropane 285 PPA: Heterolytic Bond Cleavage 288 Mechanical Force for Sampling: Application to Lignin 292 Best Practices for Mechanochemical Simulation 296 Conclusions 298 Acknowledgments 299 References 300 Index 313

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Book SynopsisTable of ContentsPreface xiii Section I Establishing a Framework and Process 1 Chapter 1 Health and Healthcare Data Visualizations of Historical Importance 3 Chapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data 9 Search for Characteristics and Core Competencies 10 Get to Know the Data 11 Classifications, Intent, Purpose, and Lineage 12 Two Types of Data 14 Qualitative/Categorical Data 14 Quantitative/Numerical Data 14 Scales/Levels of Measure 15 Nominal 15 Ordinal 16 Interval 17 Ratio 18 Summary 19 Chapter 3 Requirements-Gathering and Design Methods 21 Design Thinking Foundational Concepts 22 Design Methods 23 Contextual Inquiry 23 Mental Models 24 Personas 26 Persona Creation Guide 27 Graphic Organizers 29 Guided Analytics Framework 29 Summary Overview Dashboard 30 Supporting Focused Reports 30 Details 31 Multidimensional Exploratory Displays (MEDs™) 31 Sketching 32 Prototyping 33 Testing 34 Summary 36 Section II Perceiving the Best Practices of Data Visualization 37 Chapter 4 The Research 39 Research Informs Data Visualization Best Practices 39 Preattentive Attributes 41 Preattentive Attributes at Work 43 Gestalt Principles 46 Color Theory 48 The Power of White Space 53 Where People Look 54 Summary 54 Chapter 5 Table Design Checklist 55 Fundamentals of Table Design 55 Organization/Categorization 55 Non-Data Ink 56 Fonts 56 Number Alignment and Formatting 56 Labels 58 Summary 58 Chapter 6 Powerful Visualizations in Four Shapes 59 Bars, Lines, Points, and Boxes 59 Shape One: Bars 61 Bar Basics 61 Using Bars To: See How You’re Doing 63 Distributions 63 Histograms 63 Population Pyramid (Paired Bars) 65 Ranking 67 Change over Time 68 Comparing Multiple Data Points 70 Proportions | Part-to-Whole 71 Challenging the 100% Myth 73 Deviation (Difference, Variation) 73 Ranges and Comparative Values 74 Displaying the Vital Few: Pareto Charts 77 Bars Are Not Boring 78 Shape Two: Lines 79 Line Basics 79 Using Lines To: See How You’re Doing 83 As a Reference | Comparison 83 Change over Time 84 Change over Time | Sparklines 86 Change over Time | Deviation Graphs 87 Distributions 88 Distributions | The Empirical Rule and Control Charts 88 Statistical Process Control Charts (SPCs) and Geometric (G) Charts 90 Relationships | Correlations 91 Shape Three: Points 92 Point Basics 92 Using Points To: See How You’re Doing 94 Distributions 94 Revealing Details 95 Change over Time 96 Correlation 96 Hierarchy Quadrant 97 Location Details 98 Shape Four: Boxes 98 Box Basics 99 Using Boxes To: See How You’re Doing 99 Distribution 99 Multiple Values 100 Change over Time and Utilization Rates 101 Hierarchical Data 101 Other Shapes 102 Summary 103 Chapter 7 Maps 105 Using Maps to Gain Insights 105 Geographic Maps 105 Choropleth Maps 106 Hex-Tile Maps 109 Symbol/Dot-Density Maps 110 Proportional Symbol Maps 112 When Not to Use a Map 113 Summary 114 Chapter 8 Graphs and Charts to Never Use or Use with Caution 115 When “Cool Displays” Are Anything But 115 Pie and Donut Charts 117 Why People Use Them 117 Characteristics 118 Challenges 118 Best Practice Alternative 119 Multiples of Several-Part Stacked Bar Charts (MSPSBCs) 121 Why People Use Them 121 Characteristics 121 Challenges 121 Best Practice Alternative 124 Bubble Charts 124 Why People Use Them 124 Characteristics 125 Challenges 125 Best Practice Alternative 126 Treemaps 128 Why People Use Them 128 Characteristics 129 Challenges 129 Best Practice Alternative 130 Marimekko (Mekko or Mosaic) Charts 132 Why People Use Them 132 Characteristics 132 Challenges 134 Best Practice Alternative 134 Radial Bar and Petal Charts 134 Why People Use Them 134 Characteristics 135 Challenges 135 Best Practice Alternative 136 Radar Charts 138 Why People Use Them 138 Characteristics 138 Challenges 138 Best Practice Alternative 139 Sankey Diagrams 141 Why People Use Them 141 Characteristics 141 Challenges 142 Best Practice Alternative 144 One More Thing: 3-D 145 Summary 146 Chapter 9 Making Accessible Visualizations 149 Accessible Design is Good Design 149 Accessibility in Data Visualization 150 Ways to Make Accessible Data Visualizations 151 Summary 158 Section III Creating Compelling Data Displays 159 Chapter 10 Dashboards, Reports, and Multidimensional Exploratory Displays (MEDs™) 161 Definitions Matter 161 Dashboards 162 Dashboards Defined 162 Purpose/Objective 162 Data/Information 163 Design 164 Example Dashboards 165 Dashboard Summary 169 Reports 170 Reports Defined 170 Purpose/Objective 170 Design 170 Example Reports 171 Report Summary 176 Multidimensional Exploratory Displays (MEDs™) 176 MEDs™ Defined 177 Purpose/Objective 177 Design 177 Example MED™ 177 MEDs™ Summary 184 Summary 184 Chapter 11 Infographics 185 "No Tobacco Day" Infographic 186 Measles and Vaccinations Infographic 188 Infographic vs. Infoposter 191 Summary 194 Section IV Closing Thoughts and Recommended Reading and Resources 195 Closing Thoughts 197 Fluency and Mastery 197 Bitten by the Viz Bug | Recommended Reading and Resources 199 Recommended Reading 199 Resources 201 Accessibility Resources 202 Author Bios 203 References 207 Index 211

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Book SynopsisLearn to use, and not be used by, datato make more insightful decisions The availability of data and various forms of AI unlock countless possibilities forbusiness decision makers.But what do you do when youfeelpressuredto cede yourposition in the decision-making process altogether? Decision IntelligenceForDummiespumps the brakes onthe growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions.The book shows you how toachieve maximum flexibilitybyusingeveryavailable resource, and not just raw data, to make the most insightful decisions possible. In this timely book, you'll learn to: Make data a means to an end, rather thananend in itself, by expanding yourdecision-making inquiriesFind a new path to solid decisionsthat includes, but isn't dominated, by quantitative dataMeasure the results of your newframeworkto prove its effectiveness and efficiencyand expand it to a whole team or company Perfect forbusiness leaders in technology and finance,Decision IntelligenceForDummiesis ideal for anyone who recognizes that data isnot the only powerful tool in your decision-making toolbox.This book shows you how to be guided, and not ruled, by the data.Table of ContentsIntroduction 1 About This Book 2 Conventions Used in This Book 3 Foolish Assumptions 3 What You Don’t Have to Read 4 How This Book Is Organized 5 Part 1: Getting Started with Decision Intelligence 5 Part 2: Reaching the Best Possible Decision 5 Part 3: Establishing Reality Checks 5 Part 4: Proposing a New Directive 6 Part 5: The Part of Tens 6 Icons Used in This Book 6 Beyond the Book 7 Where to Go from Here 7 Part 1: Getting Started with Decision Intelligence 9 Chapter 1: Short Takes on Decision Intelligence 11 The Tale of Two Decision Trails 12 Pointing out the way 13 Making a decision 16 Deputizing AI as Your Faithful Sidekick 18 Seeing How Decision Intelligence Looks on Paper 20 Tracking the Inverted V 21 Estimating How Much Decision Intelligence Will Cost You 22 Chapter 2: Mining Data versus Minding the Answer 25 Knowledge Is Power — Data Is Just Information 26 Experiencing the epiphany 26 Embracing the new, not-so-new idea 28 Avoiding thought boxes and data query borders 29 Reinventing Actionable Outcomes 32 Living with the fact that we have answers and still don’t know what to do 32 Going where humans fear to tread on data 34 Ushering in The Great Revival: Institutional knowledge and human expertise 36 Chapter 3: Cryptic Patterns and Wild Guesses 39 Machines Make Human Mistakes, Too 40 Seeing the Trouble Math Makes 42 The limits of math-only approaches 42 The right math for the wrong question 43 Why data scientists and statisticians often make bad question-makers 46 Identifying Patterns and Missing the Big Picture 48 All the helicopters are broken 48 MIA: Chunks of crucial but hard-to-get real-world data 49 Evaluating man-versus-machine in decision-making 51 Chapter 4: The Inverted V Approach 53 Putting Data First Is the Wrong Move 54 What’s a decision, anyway? 55 Any road will take you there 56 The great rethink when it comes to making decisions at scale 57 Applying the Upside-Down V: The Path to the Output and Back Again 59 Evaluating Your Inverted V Revelations 60 Having Your Inverted V Lightbulb Moment 61 Recognizing Why Things Go Wrong 63 Aiming for too broad an outcome 63 Mimicking data outcomes 64 Failing to consider other decision sciences 64 Mistaking gut instincts for decision science 64 Failing to change the culture 65 Part 2: Reaching the Best Possible Decision 67 Chapter 5: Shaping a Decision into a Query 69 Defining Smart versus Intelligent 70 Discovering That Business Intelligence Is Not Decision Intelligence 71 Discovering the Value of Context and Nuance 72 Defining the Action You Seek 73 Setting Up the Decision 74 Decision science versus data science 75 Framing your decision 77 Heuristics and other leaps of faith 78 Chapter 6: Mapping a Path Forward 81 Putting Data Last 82 Recognizing when you can (and should) skip the data entirely 83 Leaning on CRISP-DM 84 Using the result you seek to identify the data you need 85 Digital decisioning and decision intelligence 85 Don’t store all your data — know when to throw it out 87 Adding More Humans to the Equation 88 The shift in thinking at the business line level 90 How decision intelligence puts executives and ordinary humans back in charge 92 Limiting Actions to What Your Company Will Actually Do 94 Looking at budgets versus the company will 95 Setting company culture against company resources 98 Using long-term decisioning to craft short-term returns 99 Chapter 7: Your DI Toolbox 101 Decision Intelligence Is a Rethink, Not a Data Science Redo 102 Taking Stock of What You Already Have 103 The tool overview 104 Working with BI apps 105 Accessing cloud tools 106 Taking inventory and finding the gaps 107 Adding Other Tools to the Mix 108 Decision modeling software 109 Business rule management systems 110 Machine learning and model stores 110 Data platforms 112 Data visualization tools 112 Option round-up 113 Taking a Look at What Your Computing Stack Should Look Like Now 113 Part 3: Establishing Reality Checks 115 Chapter 8: Taking a Bow: Goodbye, Data Scientists — Hello, Data Strategists 117 Making Changes in Organizational Roles 118 Leveraging your current data scientist roles 120 Realigning your existing data teams 121 Looking at Emerging DI Jobs 122 Hiring data strategists versus hiring decision strategists 125 Onboarding mechanics and pot washers 127 The Chief Data Officer’s Fate 127 Freeing Executives to Lead Again 129 Chapter 9: Trusting AI and Tackling Scary Things 131 Discovering the Truth about AI 132 Thinking in AI 133 Thinking in human 136 Letting go of your ego 137 Seeing Whether You Can Trust AI 138 Finding out why AI is hard to test and harder to understand 140 Hearing AI’s confession 142 Two AIs Walk into a Bar 144 Doing the right math but asking the wrong question 146 Dealing with conflicting outputs 147 Battling AIs 148 Chapter 10: Meddling Data and Mindful Humans 151 Engaging with Decision Theory 152 Working with your gut instincts 153 Looking at the role of the social sciences 155 Examining the role of the managerial sciences 156 The Role of Data Science in Decision Intelligence 157 Fitting data science to decision intelligence 157 Reimagining the rules 159 Expanding the notion of a data source 161 Where There’s a Will, There’s a Way 163 Chapter 11: Decisions at Scale 165 Plugging and Unplugging AI into Automation 167 Dealing with Model Drifts and Bad Calls 168 Reining in AutoML 170 Seeing the Value of ModelOps 173 Bracing for Impact 174 Decide and dedicate 174 Make decisions with a specific impact in mind 175 Chapter 12: Metrics and Measures 179 Living with Uncertainty 180 Making the Decision 182 Seeing How Much a Decision Is Worth 185 Matching the Metrics to the Measure 187 Leaning into KPIs 188 Tapping into change data 191 Testing AI 193 Deciding When to Weigh the Decision and When to Weigh the Impact 195 Part 4: Proposing A New Directive 197 Chapter 13: The Role of DI in the Idea Economy 199 Turning Decisions into Ideas 200 Repeating previous successes 201 Predicting new successes 202 Weighing the value of repeating successes versus creating new successes 202 Leveraging AI to find more idea patterns 203 Disruption Is the Point 205 Creative problem-solving is the new competitive edge 205 Bending the company culture 207 Competing in the Moment 207 Changing Winds and Changing Business Models 209 Counting Wins in Terms of Impacts 210 Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213 Facing the What-If Challenge 214 What-if analysis in scenarios in Excel 216 What-if analysis using a Data Tables feature 217 What-if analysis using a Goal Seek feature 218 Learning Lessons from the Pandemic 220 Refusing to make decisions in a vacuum 221 Living with toilet paper shortages and supply chain woes 222 Revamping businesses overnight 224 Seeing how decisions impact more than the Land of Now 226 Rebuilding at the Speed of Disruption 228 Redefining Industries 230 Chapter 15: Trickle-Down and Streaming-Up Decisioning 231 Understanding the Who, What, Where, and Why of Decision-Making 232 Trickling Down Your Upstream Decisions 234 Looking at Streaming Decision-Making Models 236 Making Downstream Decisions 238 Thinking in Systems 240 Taking Advantage of Systems Tools 241 Conforming and Creating at the Same Time 244 Directing Your Business Impacts to a Common Goal 245 Dealing with Decision Singularities 246 Revisiting the Inverted V 248 Chapter 16: Career Makers and Deal-Breakers 251 Taking the Machine’s Advice 252 Adding Your Own Take 255 Mastering your decision intelligence superpowers 257 Ensuring that you have great data sidekicks 257 The New Influencers: Decision Masters 259 Preventing Wrong Influences from Affecting Decisions 262 Bad influences in AI and analytics 262 The blame game 265 Ugly politics and happy influencers 266 Risk Factors in Decision Intelligence 268 DI and Hyperautomation 270 Part 5: The Part of Tens 273 Chapter 17: Ten Steps to Setting Up a Smart Decision 275 Check Your Data Source 275 Track Your Data Lineage 276 Know Your Tools 277 Use Automated Visualizations 278 Impact = Decision 279 Do Reality Checks 280 Limit Your Assumptions 280 Think Like a Science Teacher 281 Solve for Missing Data 282 Partial versus incomplete data 282 Clues and missing answers 282 Take Two Perspectives and Call Me in the Morning 283 Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285 A Pitfalls Overview 285 Relying on Racist Algorithms 286 Following a Flawed Model for Repeat Offenders 287 Using A Sexist Hiring Algorithm 287 Redlining Loans 287 Leaning on Irrelevant Information 288 Falling Victim to Framing Foibles 288 Being Overconfident 288 Lulled by Percentages 289 Dismissing with Prejudice 289 Index 291

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Book SynopsisMachine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader's active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space explor

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Book SynopsisLearn the fundamentals of the Java 17 LTS or Java Standard Edition version 17 Long Term Support release, including basic programming concepts and the object-oriented fundamentals necessary at all levels of Java development.Table of Contents1. Programming Concepts 2. Setting Up the Environment 3. Writing Java Programs 4. Data Types 5. Operators 6. Statements 7. Classes and Objects 8. Methods 9. Constructors 10. Modules11. Object and Objects Classes 12. Wrapper Classes 13. Execution Handling 14. Assertions 15. Strings 16. Dates and Times 17. Formatting Data 18. Regular Expressions 19. Arrays 20. Inheritance 21. Interfaces 22. Enum Types 23. Java Shell Appendix A: Character Encodings Appendix B: Documentation Comments

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Book SynopsisEvery solution that is in some way related to the IoT needs a platform; learn how to create that platform with us. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that can scale incrementally without rework and potentially disrupting the current work.So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with step-by-step guide to building your own IoT platform. In this book, the author highlights what the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book distinguishes the two and focuses on building the must-haves. Building your IoT platform is not only the most significant cost-saver but can also be a satisfying learning experience. This edition will extend your work with a sample project to clarify the concepts Table of Contents Chapter 1: So… You Want to Build Your Own! · The Background of IoT and Our Focus · How Many Platforms Are Out There? · Platforms Supporting Network Servicing · Platforms Sitting Between Networks and Applications · Application-Layer Development Platforms · What Should a Good IoT Platform Have? · Why Should You Build Your Own IoT Platform? · Summary Chapter 2: The Building Blocks of an IoT Solution · The Functional Blocks of an IoT Solution · The Detailed Block Diagram of an IoT Platform · Is Everything from this Block Architecture Mandatory? · What Is the Proposed Approach? · Summary Chapter 3: The Essentials for Building Your Own Platform · Deciding Cloud Instance Specifics · Additional Specifications · Where Do We Get this Cloud Instance? · What About Our Own Machine? · Expanding on the IoT Platform Block Diagram · Edge Interface, Message Broker, and Message Bus · Message Router and Communications Management · Time-Series Storage and Data Management · REST API Interface · Microservices · Rule Engine · Device Manager and Application Manager · Our Own IoT Platform Block Diagram · Summary Chapter 4: Let’s Create Our Platform Wish List · Connecting with the Platform in Real Time · Using MQTT as the Message Broker · How Do We Want to Store the Data? · Data Storage Schema · Accessing Platform Resources Through APIs · Data Accessing APIs · Elementary Microservices and Utilities · Routing and Filtering Data and Messages · Updated Block Diagram of Our IoT Platform · Summary Chapter 5: Here We Go! · Initializing the Cloud Instance · Register and Create · Choosing an Operating System Image · Choosing the Size · Choosing a Datacenter Region · Finalizing and Creating the Instance · Connecting to Our Cloud Instance · Installing Basic Software Stacks · Installing Apache · Installing MySQL · Installing PHP · Securing the Instance and Software · It’s Easier with a Domain Name · Add Virtual Hosts to Our Web Server · Installing SSL Certificates · Installing Node.js and Node-RED · Modifying Node-RED Settings · Securing our Node-RED Editor · Summary Chapter 6: The Message Broker · What Is MQTT? · Publish and Subscribe Paradigm · Other Features of a Message Broker and MQTT · Quality of Service · Keep Alive Period · Last Will and Testament · The Retained Message · The Best Part: WebSocket · Are We Using the Best Message Broker Option? · When to Utilize a Message Broker and When Not To · Installing a Message Broker · Securing a Message Broker · Summary Chapter 7: Building the Critical Components · Creating a Time-Series Core Database · Installing Required Nodes in Node-RED · Creating First Flow for Our Platform · Adding MQTT Publish Capability · REST API Message Publisher · Creating the Database Listener · REST API Message Retriever · Verifying that Everything Is Working as Expected · Running Node-RED in the Background Continuously · Summary Chapter 8: Configuring the Message Broker · The Difference Between WebSocket and Normal MQTT · Why Is WebSocket Important? · Adding WebSocket to Our MQTT Configuration · Testing WebSocket · Let’s Add User Access Controls · Let’s Check If This Is Working · Using the Forever Tool with the Message Broker · Summary Chapter 9: Creating a REST Interface · Data Access APIs · Adding Time-Based Filters · Data Deletion APIs · Removing Data Records Completely · Adding Microservices to the Platform · Getting the Current Timestamp · Random Code Generator · Adding New Modules to Node-RED · UUID Generator · Email and Text Message Microservice APIs · Configuration of Nodes · SMS Sending Utility · Email-Sending Utility · Summary Chapter 10: Rule Engine and Authentication · Start with the Rule Engine Logic · Creating a Database · Building the Flow Sequence · Testing the Rule Engine · Rule Management APIs · Enable and Disable a Specific Rule · Enable and Disable All Rules · Create a New Rule · Building Another Rule Engine with Node-RED · Adding Authentication to the Data API · What Are Our Options? · What Is the Plan? · Adding Authentication Middleware · Enable and Test Authentication · Our Core Platform Is Ready Now · Summary Chapter 11: Documentation and Testing · Preparing a Valid OpenAPI Specification Document · Platform API Specification File Explained · Preparing Distribution Package for Final Upload · Upload API Docs and Make It Live · Authorize and Test API · Summary Chapter 12: Connecting Your Hardware · Why learn hardware alongwith IoT platform? · Available hardware options · Creating bespoke designs · Choosing the best option for your project · Connectivity options and suitability for project · Various topologies and arrangements § The “why” behind each topology and arrangement · Connecting our hardware to the platform § Two possible modes o Using REST API o Using MQTT o Can you use both? Why and when? § Requirements for each mode o Circuit specific o Firmware specific § How to incorporate them in hardware o Circuit specific o Firmware specific · Other considerations for connecting the hardware · Summary Chapter 13: Let's Build a Better Mousetrap · Backstory of better mousetrap case study § How I got this opportunity § What does “better” mean? § How I decided to approach this problem § Importance of top-down approach · System architecture § High level system design process § Block diagram and explanation · Hardware selection § What are different scenarios § What are potential options § What is on our shortlist · Connectivity choice § What are different scenarios § What are potential options § What is on our shortlist · Front-end application § What are different scenarios § What are potential options § What is on our shortlist · Hardware arrangement § Hardware construction (overview) § How it works § Testing the hardware · Backend buildup on the platform § What additions we need on the platform side § How to build them (details) § Testing the backend · Dashboard for visualization § Building a basic dashboard § How to pool the data · Additional services I built in the mousetrap application § Workflow for CRM § Client alert mechanism § Operator Scheduling § Compliance reporting § Machine learning provision for intelligent pest management § Other business benefits · Project takeaways – real life and for you (as a reader) · Summary Chapter 14: Unlimited Possibilities · What do I mean by unlimited possibilities? · Why is this platform so capable? · Five ideas you can work on § One button – based on my 1btn project o The concept o Block diagram o Key ideas and things to work on o Potential applications § Smart street lamps o The concept o Block diagram o Key ideas and things to work on o Potential applications § Council garbage collection management o The concept o Block diagram o Key ideas and things to work on o Potential applications § Datacenter climate control o The concept o Block diagram o Key ideas and things to work on o Potential applications § People counter for Covid-19 gathering compliance in shops & stores o The concept o Block diagram o Key ideas and things to work on o Potential applications · Summary Chapter 15: What We Built and the Takeaways · Increasing Security for the Cloud Instance · What About SQL Injection Through APIs? · Should We Have Used MongoDB Instead of MySQL? · Some Experts Might Still Try to Talk You Out of This · How Is Our Platform Different from AWS, Google, and Azure? · There Is a New Version of MQTT · My Platform Is Ready. Now What? · The Next Big Thing · If You Need to Find More Resources · Finally

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Book SynopsisThis book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript.The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields.This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.Trade Review“The book can be one of the favourites of a wide range of users from beginners with basic R knowledge to experts. It is especially recommended for students and researchers from social, environmental, and economic fields requiring a consistent and thorough reference always within reach.” (Márta Ladányi, ISCB News, iscb.info, Issue 69, July, 2020)Table of ContentsData for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.- Interactive Visualisation with JavaScript: Highcharts and Mapael.- Appendix

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Book SynopsisThis book provides a scholarly forum for researchers both in academia and industry from a wide range of application areas of smart cities and smart technologies to share their research findings. This book presents contributions on emerging approaches and case studies including future technological trends and challenges. This book is intended for researchers and companies in several areas such as transportation, computer science, and electrical engineering, among others. The book is composed of extended versions of selected papers from the 1st International Conference on Smart Cities and Smart Technologies (MIC-Smart 2019), 7-9 June 2019 Istanbul Turkey. Presents research from a wide range of application areas into smart cities and smart technologies; Includes topics such as smart devices, smart grid, and smart transportation and vehicles; Composed of extended versions of selected papers from the 1st International Conference on Smart Cities and Smart Technologies (MIC-Smart 2019). Table of ContentsIntroduction.- Smart Cities.- Smart Technologies.- Smart Devices.- Smart Grid.- Smart Transportation and Vehicles.- Conclusion.

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Book SynopsisThe Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue UniversityTrade ReviewThe Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University Table of Contents1 Introduction to Dynamic Data Driven Applications Systems.- 2 Tractable Non-Gaussian Representation in Dynamic Data Driven Coherent Fluid Mapping.- 3 Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems.- 4 Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness.- 5 Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics.- 6 Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.- 7 Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process.- 8 A Computational Steering Framework for Large-Scale Composite Structures.- 9 Development of Intelligent and Predictive Self-Healing Composite Structures using Dynamic Data-Driven Applications Systems.- 10 Dynamic Data-Driven Approach for Unmanned Aircraft Systems aero-elastic response analysis.- 11 Transforming Wildfire Detection and Prediction using New and Underused Sensor and Data Sources Integrated with Modeling.- 12 Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation.- 13 Photometric Steropsis for 3D Reconstruction of Space Objects.- 14 Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations.- 15 Optimization of Multi-Target Tracking within a Sensor Network via Information Guided Clustering.- 16 Data-Driven Prediction of Confidence for EVAR in Time-varying Datasets.- 17 DDDAS for Attack Detection and Isolation of Control Systems.- 18 Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning.- 19 Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field.- 20 Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction.- 21 A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids.- 22 Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods.- 23 Design of a Dynamic Data-Driven System for Multispectral Video Processing.- 24 Light Field Image Compression.- 25 On Compression of Machine-derived Context Sets for Fusion of Multi-model Sensor Data.- 26 Simulation-based Optimization as a Service for Dynamic Data-driven Applications Systems.- 27 Privacy and Security Issues in DDDAS Systems.- 28 Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis.- 29 Parzen Windows: Simplest Regularization Algorithm.- 30 Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures.- 31 A Dynamic Data-Driven Stochastic State-awareness Framework for the Next Generation of Bio-inspired Fly-by-feel Aerospace Vehicles.- DDDAS: The Way Forward.

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