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Insights into Advancements in Intelligent Information Technologies

Book Description

Intelligent Information Technologies are vital to businesses, hospitals, research facilities, and any number of institutions that rely on the infrastructure provided therein to remain current within their respective fields, and keep their access to data secure and efficient. <strong>Insights into Advancements in Intelligent Information Technologies: Discoveries</strong> offers the latest the field has to offer in research, methodologies, frameworks, and advances in the field. Within the various business enterprises that share resources and compete for a market share, information, and its uses are crucial to growing and furthering their burgeoning needs. This volume has collected case studies and research from around the globe in the most updated collection of research within the field to date.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
    1. INTRODUCTION
    2. ORGANIZATION OF THE BOOK
  5. Acknowledgment
  6. Chapter 1: Generating Knowledge-Based System Generators
    1. ABSTRACT
    2. SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE DEVELOPMENT
    3. A META GENERATOR APPROACH
    4. THE LAMA PLATFORM
    5. USE CASES AND EXPERIMENTS
    6. BENEFITS OF THE APPROACH
    7. RELATED WORK
    8. CONCLUSION
  7. Chapter 2: A Model to Increase the Efficiency of a Competence-Based Collaborative Network
    1. ABSTRACT
    2. INTRODUCTION
    3. THE SCENARIO
    4. MULTI AGENT SYSTEM
    5. MODEL VALIDATION
    6. CONCLUSION
  8. Chapter 3: Algorithm for Decision Procedure in Temporal Logic Treating Uncertainty, Plausibility, Knowledge and Interacting Agents
    1. ABSTRACT
    2. INTRODUCTION, INITIAL DISCUSSION, AIMS
  9. Chapter 4: Multiagent Based Selection of Tutor-Subject-Student Paradigm in an Intelligent Tutoring System
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. PROBLEM DESCRIPTION
    5. PROPOSED COMPUTING MODEL
    6. COMPARISON AND EVALUATION
    7. CONCLUSION
  10. Chapter 5: Information Sharing Strategies in Business-to-Business E-Hubs
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. INFORMATION SHARING STRATEGIES IN TRADITIONAL SUPPLY CHAINS
    4. 3. BUSINESS-TO-BUSINESS E-HUBS
    5. 4. INFORMATION SHARING STRATEGIES IN B2B E-HUBS
    6. 5. METHODOLOGY
    7. 6. RESULTS
    8. 7. DISCUSSION
    9. 8. LIMITATIONS AND FUTURE RESEARCH
    10. APPENDIX
  11. Chapter 6: Ontology-Based Shopping Agent for E-Marketing
    1. ABSTRACT
    2. INTRODUCTION
    3. PSYCHOLOGICAL FACTORS
    4. ELECTRONIC - CONSUMER STYLE INVENTORY (E-CSI)
    5. A Profile of Consumer Style
    6. E-MARKETING MIX
    7. E-MARKETING MIX MODEL REPRESENTED IN AN ONTOLOGY
    8. CONSUMERS’ DECISION-MAKING STYLES REPRESENTED IN AN ONTOLOGY
    9. RELATIONSHIP BETWEEN E-MARKETING MIX MODEL & INTERNET CONSUMERS’ PSYCHOLOGICAL FACTORS
    10. ONTOLOGY-BASED E-MARKETING MIX SHOPPING AGENT (EMMSA)
    11. SAMPLE RUN OF INTELLIGENT SHOPPING AGENT (EMMSA)
    12. ANALYSIS OF RESULTS
    13. CONCLUSION AND FUTURE WORK
  12. Chapter 7: A New Behavior Management Architecture for Language Faculty of an Agent for Task Delegation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. ABSTRACT ARCHITECTURE OF THE LANGUAGE FACULTY
    5. 4. MACRO ARCHITECTURE OF THE LANGUAGE FACULTY
    6. 5. MICRO ARCHITECTURE
    7. 6. PROPOSED BEHAVIOR MANAGEMENT ARCHITECTURE VS EXISTING SELF-MANAGEMENT ARCHITECTURE
    8. 7. CASE STUDY: MULLAI – MULTILINGUAL NATURAL LANGUAGE AGENT INTERFACE FOR MAIL SERVICE
    9. 8. CONCLUSION
  13. Chapter 8: Effective Use of Information Systems/Technologies in the Mergers and Acquisitions Environment
    1. ABSTRACT
    2. I INTRODUCTION
    3. II CONCEPTUAL BACKGROUND
    4. III FRAMEWORK AND HYPOTHESES
    5. V DATA ANALYSIS: TESTING THE PROPOSED HYPOTHESES
    6. VI DISCUSSION AND CONCLUSION
  14. Chapter 9: Incremental Load in a Data Warehousing Environment
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. THE DATA WAREHOUSE UPDATE FUNCTIONALITY
    5. 4. INCREMENTAL REFRESH TECHNIQUES
    6. 5. CONCLUSION
  15. Chapter 10: A Fuzzy-Neural Approach with Collaboration Mechanisms for Semiconductor Yield Forecasting
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. METHODOLOGY
    5. EXPERIMENTAL RESULTS AND DISCUSSION
    6. CONCLUSION AND IMPLICATIONS FOR FUTURE RESEARCH
  16. Chapter 11: A Semantic-Enabled Middleware for Citizen-Centric E-Government Services
    1. ABSTRACT
    2. INTRODUCTION
    3. CONCEPTS, TECHNOLOGIES AND LITERATURE REVIEW
    4. CoGPlat: THE CITIZEN-ORIENTED E-GOV PLATFORM
    5. IMPLEMENTATION ISSUES
    6. CONCLUDING REMARKS
  17. Chapter 12: Comparison of the Hybrid Credit Scoring Models Based on Various Classifiers
    1. ABSTRACT
    2. INTRODUCTION
    3. BASIC CONCEPTS OF FEATURES SELECTION APPROACHES
    4. RELATED CLASSIFIERS DESCRIPTION
    5. FEATURES SELECTION COMBINED WITH THE FOUR CLASSIFIERS
    6. EMPIRICAL ANALYSIS
    7. DISCUSSION
    8. CONCLUSION
  18. Chapter 13: Facilitating Decision Making and Maintenance for Power Systems Operators through the Use of Agents and Distributed Embedded Systems
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. IDOLO SYSTEM
    4. 3. CASE STUDY: IDOLO IMPLEMENTATION IN AN ELECTRIC FACILITY
    5. 4. IMPROVING IDOLO WITH MULTI-AGENT AND EMBEDDED SYSTEMS TECHNOLOGIES
    6. 5. ARCHITECTURE AND TECHNOLOGY USED IN THE NEW SYSTEM
    7. 6. PILOT EXPERIENCE
    8. 7. CONCLUSION
  19. Chapter 14: Web 2.0 Based Intelligent Software Architecture for Photograph Sharing
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DEVELOPMENT OF PHOTOGRAPHY
    4. 3. INTELLIGENT SHARING
    5. 4. OUR APPROACH
    6. 5. COLLABORATIVE FILTERING
    7. 6. SYSTEM ARCHITECTURE DESIGN
    8. 7. DATABASE AND GUI DESIGN
    9. 8. IMPLEMENTATION
    10. 9. CONCLUSION
  20. Chapter 15: Collusion-Free Privacy Preserving Data Mining
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. PROPOSED APPROACH
    5. EXAMPLE
    6. PERFORMANCE EVALUATION
    7. DISCUSSION AND LIMITATIONS
    8. CONCLUSION AND FUTURE WORK
  21. Chapter 16: Multi-Agent Negotiation in B2C E-Commerce Based on Data Mining Methods
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM DESCRIPTION
    4. PROPOSED APPROACH
    5. IMPLEMENTATION
    6. RESULT AND DISCUSSION
    7. EMPIRICAL VALIDATIONS AND EVALUATION
    8. RELATED WORK
    9. CONCLUSION
  22. Compilation of References
  23. About the Contributors
  24. Index