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Organizational Efficiency through Intelligent Information Technologies

Book Description

Intelligent information technologies are continuing to be utilized by a number of organizations to improve productivity. While a large amount of progress has been made, a number of issues still remain unexplored regarding the design and implementation of multi-agent systems for support of organization efficiency. Organizational Efficiency through Intelligent Information Technologies explores various aspects of design and development of intelligent technologies by bringing together the latest in research in the fields of information systems, intelligent agents, collaborative works, and much more. This reference source also highlights insights on agent-based problem solving as well as economic issues and organizational impact. 

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Associate Editors
    2. List of Reviewers
  5. Preface
    1. INTRODUCTION
    2. ORGANIZATION OF THE BOOK
  6. Acknowledgment
  7. Chapter 1: Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. PROBLEM DESCRIPTION AND BASIC PROCESS
    5. EMPIRICAL EVALUATION
    6. CONCLUSION AND FUTURE WORK
  8. Chapter 2: OntoClippy
    1. ABSTRACT
    2. INTRODUCTION
    3. STATE OF THE ART
    4. EVALUATION
    5. CONCLUSION AND OUTLOOK
  9. Chapter 3: Combining Supervised Learning Techniques to Key-Phrase Extraction for Biomedical Full-Text
    1. ABSTRACT
    2. INTRODUCTION
    3. THE SYSTEMS AND LEARNING ALGORITHMS FOR KEY PHRASE EXTRACTION
    4. EXPERIMENTAL SETTING AND DATA COLLECTION
    5. EXPERIMENT AND RESULTS
    6. CONCLUSION
  10. Chapter 4: Design and Usage of a Process-Centric Collaboration Methodology for Virtual Organizations in Hybrid Environments
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DESIGN OF A COLLABORATION METHODOLOGY FOR VIRTUAL ORGANIZATIONS
    5. USAGE OF THE COLLABORATION METHODOLOGY FOR VIRTUAL ORGANIZATIONS
    6. CONCLUSION AND OUTLOOK
  11. Chapter 5: Construction of Domain Ontologies
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED RESEARCH
    4. ONTOLOGY CREATION METHODOLOGY
    5. IMPLEMENTATION
    6. EVALUATION
    7. CONCLUSION
    8. APPENDIX
  12. Chapter 6: Self Adaptive Particle Swarm Optimization for Efficient Virtual Machine Provisioning in Cloud
    1. ABSTRACT
    2. INTRODUCTION
    3. HEURISTIC APPROACH USING PARTICLE SWARM OPTIMIZATION
    4. PROBLEM FORMULATION
    5. SYSTEM ARCHITECTURE
    6. SELF ADAPTIVE PSO METHODOLOGY FOR EFFICIENT VIRTUAL MACHINE (VM) PROVISIONING
    7. EXPERIMENTAL SETUP
    8. EXPERIMENTAL RESULTS AND INFERENCE
    9. CONCLUSION AND FUTURE WORK
  13. Chapter 7: Eliciting User Preferences in Multi-Agent Meeting Scheduling Problem
    1. ABSTRACT
    2. INTRODUCTION
    3. MEETING SCHEDULING AS AN AGREEMENT PROBLEM
    4. ANALYTICAL HIERARCHY PROCESS
    5. PROPOSED PREFERENCE MODELING APPROACH FOR AGENTS
    6. IMPLEMENTATION, EXPERIMENTS, AND EVALUATION
    7. CONCLUSION AND FUTURE WORK
  14. Chapter 8: Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. PROBLEM MODELING
    5. GENETIC PROGRAMMING
    6. GENETIC ALGORITHM
    7. RESULTS
    8. CONCLUSION
  15. Chapter 9: Intelligent Agent-Based e-Learning System for Adaptive Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. ADAPTIVE LEARNING MODEL
    5. THREE-TIER ATI-BASED ADAPTIVE E-LEARNING ARCHITECTURE
    6. RESULT AND ANALYSIS
    7. CONCLUSION
  16. Chapter 10: Intelligent Information Retrieval Using Fuzzy Association Rule Classifier
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. ARCHITECTURE
    5. EXPERIMENTAL RESULTS
    6. CONCLUSION
  17. Chapter 11: An Intelligent Operator for Genetic Fuzzy Rule Based System
    1. ABSTRACT
    2. INTRODUCTION
    3. CLASSIFICATION USING FUZZY IF-THEN RULES
    4. GENETIC FUZZY RULE BASED SYSTEM
    5. PROPOSED INTELLIGENT OPERATOR BASED ON SWARM INTELLIGENCE
    6. SIMULATION RESULT
    7. CONCLUSION
  18. Chapter 12: Software Effort Estimation
    1. ABSTRACT
    2. INTRODUCTION
    3. RELEVANT WORK
    4. DATA ANALYSIS AND MODELING
    5. VISUALIZATION
    6. FEATURE SELECTION
    7. MODELING
    8. A CASE STUDY
    9. VISUALIZATION
    10. EFFORT PREDICTION
    11. CONCLUSION
  19. Chapter 13: An Ontology Based Model for Document Clustering
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE SURVEY
    4. PROPOSED METHODOLOGY
    5. CONCLUSION AND FUTURE WORK
  20. Chapter 14: Towards a Possibilistic Information Retrieval System Using Semantic Query Expansion
    1. ABSTRACT
    2. INTRODUCTION
    3. POSSIBILITY THEORY
    4. RELATED WORKS
    5. THE CIRCUIT-BASED APPROACH FOR SQE
    6. THE POSSIBILISTIC APPROACH FOR SQE
    7. COMBINING THE POSSIBILISTIC AND THE CIRCUIT-BASED APPROACHES FOR SQE
    8. REWEIGHTING QUERY TERMS
    9. IMPLEMENTATION AND EXPERIMENTAL RESULTS
    10. DISCUSSION AND FUTURE WORK
    11. CONCLUSION
  21. Chapter 15: Effective Fuzzy Ontology Based Distributed Document Using Non-Dominated Ranked Genetic Algorithm
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. MOTIVATION
    5. METHODOLOGY
    6. CONCLUSION AND FUTURE WORK
  22. Chapter 16: A Dynamically Optimized Fluctuation Smoothing Rule for Scheduling Jobs in a Wafer Fabrication Factory
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. METHODOLOGY
    5. EXPERIMENTAL RESULTS AND DISCUSSION
    6. CONCLUSIONS AND DIRECTIONS FOR FUTURE RESEARCH
  23. Chapter 17: A Heuristic Method for Learning Path Sequencing for Intelligent Tutoring System (ITS) in E-learning
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. PROBLEM DESCRIPTION
    5. SYSTEM ARCHITECTURE
    6. SEMANTIC VALUE COMPUTATION
    7. IMPLEMENTATION
    8. EXPERIMENTATION AND COMPRESSION
    9. CONCLUSION
  24. Compilation of References
  25. About the Contributors