| Quotient Space Based Problem Solving Posted: 06 Apr 2014 08:12 AM PDT 
Book Description Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing Research results obtained by the authors form the basis of this volume. The motivation behind this research is the belief that more human-like characteristics in problem solving should be involved in a formal representation in order to achieve better performance for computer-based problem solvers. While much of the current material available is presented in the language of mathematics, including elementary topology, set theory and statistics, Quotient Space Based Problem Solving presents key concepts and techniques, including basic definitions and theorems in accessible, practical terms before the relevant discussions. Each topic is introduced by simple examples and applications. Quotient Space Based Problem Solving is designed for graduate students, research fellows and technicians in Computer Science, especially Artificial Intelligence, and those concerned with computerized problem solving. - Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing
- Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence.
- Provides many applications and examples in the engineering and computer science area.
- Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models.
Table of Contents
Chapter 1. Problem Representation
Chapter 2. Hierarchy and Multi-granular Computing
Chapter 3. Information Synthesis in Multi-granular Computing
Chapter 4. Reasoning in Multi-granular Computing
Chapter 5. Automatic Spatial Planning
Chapter 6. Statistical Heuristic Search
Chapter 7. the Expansion of Quotient Space Theory Addenda A. Some Concepts and Properties of Point Set Topology
Addenda B. Some Concepts and Properties of Integral and Statistical Inference Book Details - Hardcover: 396 pages
- Publisher: Morgan Kaufmann (February 2014)
- Language: English
- ISBN-10: 0124103871
- ISBN-13: 978-0124103870
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| Plan, Activity, and Intent Recognition Posted: 06 Apr 2014 08:06 AM PDT 
Book Description Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: - personal agent assistants
- computer and network security
- opponent modeling in games and simulation systems
- coordination in robots and software agents
- web e-commerce and collaborative filtering
- dialog modeling
- video surveillance
- smart homes
In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas. - Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars
- Explains how to interpret and recognize plans and activities from sensor data
- Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines
Table of Contents
Part I: Plan and Goal Recognition
Chapter 1. Hierarchical Goal Recognition
Chapter 2. Weighted Abduction for Discourse Processing Based on Integer Linear Programming
Chapter 3. Plan Recognition using Statistical Relational Models
Chapter 4. Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior Part II: Activity Discovery and Recognition
Chapter 5. Scaling Activity Recognition
Chapter 6. Extraction of Latent Patterns and Contexts from Social Honest Signals Using Hierarchical Dirichlet Processes Part III: Modeling Human Cognition
Chapter 7. Modeling Human Plan Recognition using Bayesian Theory of Mind
Chapter 8. DecisionTheoretic Planning in Multiagent Settings with Application to Modeling Human Strategic Behavior Part IV: Multiagent Systems
Chapter 9. MultiAgent Plan Recognition from Partially Observed Team Traces
Chapter 10. Role-based Ad Hoc Teamwork Part IV: Applications
Chapter 11. Probabilistic plan recognition for proactive assistant agents
Chapter 12. Recognizing Player Goals in OpenEnded Digital Games with Markov Logic Networks
Chapter 13. Using Opponent Modeling to Adapt Team Play in American Football
Chapter 14. Intent Recognition for HumanRobot Interaction Book Details - Paperback: 424 pages
- Publisher: Morgan Kaufmann (February 2014)
- Language: English
- ISBN-10: 0123985323
- ISBN-13: 978-0123985323
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| Relevance Ranking for Vertical Search Engines Posted: 06 Apr 2014 08:00 AM PDT 
Book Description In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. - Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results
- Covers concepts and theories from the fundamental to the advanced
- Discusses the state of the art: development of theories and practices in vertical search ranking applications
- Includes detailed examples, case studies and real-world examples
Table of Contents
Chapter 1. Introduction
Chapter 2. News Search Ranking
Chapter 3. Medical Domain Search Ranking
Chapter 4. visual Search Ranking
Chapter 5. Mobile Search Ranking
Chapter 6. Multi-Aspect Relevance Ranking
Chapter 7. Entity Ranking
Chapter 8. Aggregrated Vertical Search
Chapter 9. Cross Vertical Search Ranking Book Details - Paperback: 264 pages
- Publisher: Morgan Kaufmann (February 2014)
- Language: English
- ISBN-10: 0124071716
- ISBN-13: 978-0124071711
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| Object-Oriented Analysis and Design for Information Systems Posted: 06 Apr 2014 07:56 AM PDT 
Book Description Object-Oriented Analysis and Design for Information Systems clearly explains real object-oriented programming in practice. Expert author Raul Sidnei Wazlawick explains concepts such as object responsibility, visibility and the real need for delegation in detail. The object-oriented code generated by using these concepts in a systematic way is concise, organized and reusable. The patterns and solutions presented in this book are based in research and industrial applications. You will come away with clarity regarding processes and use cases and a clear understand of how to expand a use case. Wazlawick clearly explains clearly how to build meaningful sequence diagrams. Object-Oriented Analysis and Design for Information Systems illustrates how and why building a class model is not just placing classes into a diagram. You will learn the necessary organizational patterns so that your software architecture will be maintainable. - Learn how to build better class models, which are more maintainable and understandable.
- Write use cases in a more efficient and standardized way, using more effective and less complex diagrams.
- Build true object-oriented code with division of responsibility and delegation.
Table of Contents
Chapter 1. Introduction
Chapter 2. Business Modeling
Chapter 3. High-Level Requirements
Chapter 4. Use Case Based Project Planning
Chapter 5. Expanded Use Cases
Chapter 6. Conceptual Modeling: Fundamentals
Chapter 7. Conceptual Modeling: Patterns
Chapter 8. Functional Modeling with OCL Contracts
Chapter 9. Domain Tier Design
Chapter 10. Code Generation
Chapter 11. Testing
Chapter 12. Interface Tier Design with IFML
Chapter 13. Data Persistence Book Details - Paperback: 376 pages
- Publisher: Morgan Kaufmann (February 2014)
- Language: English
- ISBN-10: 0124186734
- ISBN-13: 978-0124186736
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| Designing with the Mind in Mind, 2nd Edition Posted: 06 Apr 2014 07:51 AM PDT 
Book Description In this completely updated and revised edition of Designing with the Mind in Mind, Jeff Johnson provides you with just enough background in perceptual and cognitive psychology that user interface (UI) design guidelines make intuitive sense rather than being just a list or rules to follow. Early UI practitioners were trained in cognitive psychology, and developed UI design rules based on it. But as the field has evolved since the first edition of this book, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In this new edition, you’ll find new chapters on human choice and decision making, hand-eye coordination and attention, as well as new examples, figures, and explanations throughout. - Provides an essential source for user interface design rules and how, when, and why to apply them
- Arms designers with the science behind each design rule, allowing them to make informed decisions in projects, and to explain those decisions to others
- Equips readers with the knowledge to make educated tradeoffs between competing rules, project deadlines, and budget pressures
- Completely updated and revised, including additional coverage on human choice and decision making, hand-eye coordination and attention, and new mobile and touch-screen examples throughout
Table of Contents
Chapter 1. Our Perception is Biased
Chapter 2. Our Vision is Optimized to See Structure
Chapter 3. We Seek and Use Visual Structure
Chapter 4. Our Color Vision is Limited
Chapter 5. Our Peripheral Vision is Poor
Chapter 6. Reading is Unnatural
Chapter 7. Our Attention is Limited; Our Memory is Imperfect
Chapter 8. Limits on Attention Shape Our Thought and Action
Chapter 9. Recognition is Easy; Recall is Hard
Chapter 10. Learning from Experience and Performing Learned Actions are Easy; Problem Solving and Calculation are Hard
Chapter 11. Many Factors Affect Learning
Chapter 12. Human Decision-Making is Rarely Rational
Chapter 13. Our Hand-Eye Coordination Follows Laws
Chapter 14. We Have Time Requirements Book Details - Paperback: 240 pages
- Publisher: Morgan Kaufmann; 2nd Edition (February 2014)
- Language: English
- ISBN-10: 0124079148
- ISBN-13: 978-0124079144
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| Commercial Data Mining Posted: 06 Apr 2014 07:48 AM PDT 
Book Description Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you’ll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton’s more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. - Illustrates cost-benefit evaluation of potential projects
- Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools
- Approachable reference can be read from cover to cover by readers of all experience levels
- Includes practical examples and case studies as well as actionable business insights from author’s own experience
Table of Contents
Chapter 1. Introduction
Chapter 2. Business Objectives
Chapter 3. Data Quality
Chapter 4. Data Representation
Chapter 5. Possible Sources of Data and Information
Chapter 6. Selection of variables and factors
Chapter 7. Data Sampling
Chapter 8. Data Analysis
Chapter 9. Modeling
Chapter 10. The Data Mart – structured data warehouse
Chapter 11. Querying, Report Generation and Executive Information Systems
Chapter 12. Analytical CRM – Customer Relationship Analysis
Chapter 13. Website analysis and Internet search
Chapter 14. Online social network analysis
Chapter 15. Web search trend analysis
Chapter 16. Creating your own environment for commercial data analysis
Chapter 17. Summary Book Details - Paperback: 304 pages
- Publisher: Morgan Kaufmann (February 2014)
- Language: English
- ISBN-10: 0124166024
- ISBN-13: 978-0124166028
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