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Recent Advances in Intelligent Technologies and Information Systems

Book Description

The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it. Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Preface
    1. INTRODUCTION
    2. BIG DATA ANALYTICS
    3. OPEN SOURCE TOOLS FOR BIG DATA ANALYTICS
    4. ORGANIZATION OF THE BOOK
    5. REFERENCES
  6. Acknowledgment
  7. Section 1: Semantic Technologies and Applications
    1. Chapter 1: Strategies and Methods for Ontology Alignment
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SYSTEM ARCHITECTURE
      5. CASE STUDY OF DRUG-DRUG INTERACTION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 2: A Novel E-Learning Management System for Appropriate Recommendations on the Learning Contents
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. PROBLEM STATEMENT
      4. 3. RELATED WORKS
      5. 4. INTEGRATED E-LEARNING MANAGEMENT SYSTEM
      6. 5. PERFORMANCE EVALUATION
      7. 6. CONCLUSION AND FUTURE WORKS
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Evaluation of Topic Models as a Preprocessing Engine for the Knowledge Discovery in Twitter Datasets
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. RESEARCH APPROACH
      5. PREPROCESSING FRAMEWORK FOR SENTIMENT ANALYSIS IN TWITTER
      6. EVALUATION
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    4. Chapter 4: Welcome to the Party
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TOPIC MODELS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    5. Chapter 5: Design Consideration of Sociomaterial Multi-Agent CSCW Systems
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. COLLABORATION AND COLLABORATIVE WORK
      4. 3. COMPUTER-SUPPORTED COLLABORATIVE WORK SYSTEMS AND TECHNOLOGIES
      5. 4. DESIGNING CSCWS
      6. 5. MULTI-AGENT SYSTEMS: DOMAIN AND DESIGN METHODOLOGIES
      7. 6. MULTI-AGENT SUPPORTED COLLABORATIVE WORK SYSTEMS (MASCWS)
      8. 7. SOCIOMATERIALITY IMPLICATIONS OF MASCWS
      9. 8. CONCLUSION
      10. REFERENCES
      11. KEY TERMS AND DEFINITIONS
    6. Chapter 6: Segmentation of Renal Calculi in Ultrasound Kidney Images Using Modified Watershed Method
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. THE IORM SEGMENTATION
      5. EXPERIMENTAL RESULTS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
  8. Section 2: Soft Computing and Decision Support
    1. Chapter 7: Influencing Actions-Related Decisions Using Soft Computing Approaches
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SOFT COMPUTING PERSUASION APPROACHES
      5. GENERALIZATION
      6. NEGOTIATION
      7. SUMMARY
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 8: A Smart and Dynamic Decision Support System for Nonlinear Environments
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SUPPORT VECTOR MACHINES
      5. DIMENSIONALITY REDUCTION METHODS
      6. PROPOSED MODEL FOR DYNAMIC DECISION MAKING
      7. MODELS USED
      8. METRICS USED
      9. EXPERIMENTAL RESULTS
      10. CONCLUSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    3. Chapter 9: Determinants for the Goodness of Performance Measurement Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    4. Chapter 10: The Backbone of Key Successful Branding Strategies in the 21st Century
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE BACKBONE OF KEY SUCCESSFUL BRANDING STRATEGIES IN THE 21 CENTURY
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    5. Chapter 11: Hybrid Privacy Preservation Technique Using Neural Networks
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. REVIEW OF LITERATURE
      4. 3. PRELIMINARIES
      5. 4. PRIVACY PRESERVING METHODOLOGY
      6. 5. RESULTS AND DISCUSSION
      7. 6. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    6. Chapter 12: Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors
      1. ABSTRACT
      2. INTRODUCTION
      3. DESCRIPTION AND ANALYSIS OF OSTEOPOROSIS DISEASE
      4. LITERATURE OVERVIEW
      5. OSTEOPOROSIS SOLUTION APPROACH AND METHODOLOGY
      6. CLASSIFICATION USING RF BASED ON REDUCED SET OF FEATURES
      7. RESULTS ANALYSIS AND DISCUSSION
      8. IMPLEMENTATION OF THE TOOL POS
      9. CONCLUSION AND PERSPECTIVES
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
  9. Compilation of References
  10. About the Contributors