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Handbook of Research on Fuzzy Information Processing in Databases

Book Description

"Information technology is one of the most rapidly changing disciplines, especially with the fuzzy extension. Fuzzy databases have been studied in many works and papers but, in general, these works study some particular area and many works are theoretical works, with very few real applications.

The Handbook of Research on Fuzzy Information Processing in Databases provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. This compendium of research offers researchers, students, and organizations a complete, practical, guide to fuzzy information processing in databases."

Table of Contents

  1. Copyright
  2. Editorial Advisory Board
  3. Program Committee
  4. List of Contributors
  5. Foreword
  6. Preface
  7. Acknowledgment
  8. About the Editor
  9. Introduction
    1. Introduction and Trends to Fuzzy Logic and Fuzzy Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. FUZZY SETS
      4. FUZZY DATABASES
      5. CONCLUSION AND FUTURE TRENDS
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTES
    2. An Overview of Fuzzy Approaches to Flexible Database Querying
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. FUZZY QUERYING OF CRISP RELATIONAL DATABASES
      5. FUZZY QUERYING OF FUZZY RELATIONAL DATABASES
      6. OBJECT-ORIENTED APPROACHES
      7. CONCLUDING REMARKS
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS
    3. Introduction to Fuzzy Data Mining Methods
      1. ABSTRACT
      2. INTRODUCTION
      3. STEPS OF KNOWLEDGE DISCOVERY
      4. CLASSICAL FUZZY CLUSTER ANALYSIS
      5. VISUALIZATION OF HIGH DIMENSIONAL DATA
      6. FUZZY CLASSIFIER SYSTEMS FOR EFFECTIVE MODEL REPRESENTATION
      7. FUZZY ASSOCIATION RULE MINING
      8. CONCLUSION
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. KEY TERMS
      12. ENDNOTE
  10. Fuzzy Queries
    1. Handling Bipolar Queries in Fuzzy Information Processing
      1. ABSTRACT
      2. INTRODUCTION
      3. BIPOLAR REPRESENTATION OF PREFERENCES
      4. BIPOLAR QUERIES
      5. BIPOLARITY IN CASE-BASED QUERYING
      6. CONCLUDING REMARKS
      7. REFERENCES
      8. KEYWORDS
      9. ENDNOTE
    2. From User Requirements to Evaluation Strategies of Flexible Queries in Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. FLEXIBILITY IN QUERY PROCESSING
      4. QUERY EVALUATION
      5. SUMMARY AND OUTCOMES
      6. REFERENCES
      7. KEY TERMS
      8. ENDNOTES
    3. On the Versatility of Fuzzy Sets for Modeling Flexible Queries
      1. ABSTRACT
      2. INTRODUCTION
      3. FLEXIBLE QUERIES AND FUZZY SETS
      4. THE RELATIONAL DIVISION: REMINDERS AND LINES OF EXTENSION
      5. DIVISION OF FUZZY RELATIONS
      6. EXCEPTION-BASED APPROXIMATE DIVISION
      7. PROXIMITY-BASED APPROXIMATE DIVISION
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    4. Flexible Querying Techniques Based on CBR
      1. ABSTRACT
      2. INTRODUCTION
      3. SOME PRELIMINARIES
      4. A FLEXIBLE CBR APPROACH FOR INFORMATION RETRIEVAL
      5. ENHANCING FLEXIBLE DATABASE QUERYING
      6. A REAL-WORLD APPLICATION: THE GENDER CLAIM DATABASE
      7. CONCLUSION AND FUTURE TRENDS
      8. REFERENCES
      9. KEY TERMS
    5. Customizable Flexible Querying in Classical Relational Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND OF THE PROPOSED SOFT SQL
      4. MAIN FOCUS OF THE CHAPTER
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS
    6. Qualifying Objects in Classical Relational Database Querying
      1. ABSTRACT
      2. INTRODUCTION
      3. ABSOLUTE OBJECT QUALIFICATION
      4. RELATIVE OBJECT QUALIFICATION
      5. DYNAMIC MODELING OF THE LINGUISTIC VALUES
      6. THE UNIFIED MODEL OF THE CONTEXT
      7. LABORATORY SOFTWARE TOOLS FOR DATABASE FLEXIBLE QUERYING
      8. CONCLUSION
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. KEY TERMS
    7. Evaluation of Quantified Statements Using Gradual Numbers
      1. ABSTRACT
      2. INTRODUCTION
      3. LINGUISTIC QUANTIFIERS AND QUANTIFIED STATEMENTS
      4. PREVIOUS PROPOSALS FOR THE INTERPRETATION OF QUANTIFIED STATEMENTS
      5. GRADUAL NUMBERS AND GRADUAL TRUTH VALUE
      6. INTERPRETATION OF QUANTIFIED STATEMENTS USING GRADUAL NUMBERS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    8. FSQL and SQLf: Towards a Standard in Fuzzy Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. FUZZY SETS BACKGROUND
      4. APPROACH DIRECTION
      5. FUZZY LOGIC COMPONENTS
      6. SYSTEM ARCHITECTURE
      7. SATISFACTION DEGREE
      8. EVALUATION MECHANISM
      9. PERFORMANCE ANALYSIS
      10. SUMMARY
      11. CONCLUSION AND FUTURE TRENDS
      12. ACKNOWLEDGMENT
      13. REFERENCES
      14. KEY TERMS
    9. Hierarchical Fuzzy Sets to Query Possibilistic Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTES
    10. Query Expansion by Taxonomy
      1. ABSTRACT
      2. INTRODUCTION
      3. ONTOLOGY
      4. SIMILARITY
      5. EXPANSION
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
  11. Implementation, Data Models, Fuzzy Attributes, and Applications
    1. How to Achieve Fuzzy Relational Databases Managing Fuzzy Data and Metadata
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARY CONCEPTS
      4. A MIGRATION APPROACH TOWARDS FRDBs
      5. PARTIAL MIGRATION
      6. TOTAL MIGRATION
      7. EASY TOTAL MIGRATION
      8. CONCLUSION
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. KEY TERMS
      12. ENDNOTES
    2. A Tool for Fuzzy Reasoning and Querying
      1. ABSTRACT
      2. CLOUDS: TOOLS FOR FUZZY REASONING AND QUERYING
      3. BASIC CONCEPTS
      4. FUZZY DATABASES AND FUZZY EXTENSIONS TO SQL
      5. OVERVIEW OF CLOUDS
      6. THE LANGUAGE CLOUDS-L
      7. EXAMPLE: ENHANCING A GIS APPLICATION
      8. FUTURE TRENDS
      9. CONCLUSION
      10. REFERENCES
      11. KEY TERMS
      12. ENDNOTES
    3. Data Model of FRDB with Different Data Types and PFSQL
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA MODEL EXTENSIONS
      4. RELATIONAL OPERATORS IN PFSQL
      5. GENERALIZED PRIORITIZED FUZZY CONSTRAINT SATISFACTION PROBLEM
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
    4. Towards a Fuzzy Object-Relational Database Model
      1. ABSTRACT
      2. INTRODUCTION
      3. OBJECT-RELATIONAL DATABASES
      4. BACKGROUND ON FUZZY DATABASES
      5. A FUZZY OBJECT-RELATIONAL DATABASE MODEL
      6. SOFT DATA SERVER: A FUZZY OBJECT RELATIONAL DATABASE MANAGEMENT SYSTEM
      7. A FUZZY OBJECT-RELATIONAL DATABASE APPLICATION ON IMAGE RETRIEVAL
      8. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
      9. REFERENCES
      10. KEY TERMS
    5. Relational Data, Formal Concept Analysis, and Graded Attributes1
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. CONCEPT LATTICES OF TABLES WITH FUZZY ATTRIBUTES
      5. ATTRIBUTE IMPLICATIONS OF TABLES WITH FUZZY ATTRIBUTES
      6. RECENT APPROACHES AND FUTURE RESEARCH TOPICS
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTE
    6. Fuzzy Spatial Data Types for Spatial Uncertainty Management in Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. SPATIAL IMPERFECTION
      5. SPATIAL FUZZINESS
      6. ABSTRACT DEFINITION OF FUZZY SPATIAL DATA TYPES
      7. FUZZY SETS AND FUZZY TOPOLOGY
      8. FUZZY POINTS
      9. FUZZY LINES
      10. FUZZY REGIONS
      11. FUZZY TOPOLOGICAL PREDICATES
      12. DATABASE INTEGRATION AND QUERYING WITH FUZZY TOPOLOGICAL PREDICATES
      13. CONCLUSION AND FUTURE WORK
      14. REFERENCES
      15. KEY TERMS
      16. ENDNOTES
    7. Fuzzy Classification in Shipwreck Scatter Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. SHIPWRECK SCATTER ANALYSIS
      4. FUZZY CLASSIFICATION AND FSQL
      5. EXEMPLARY IMPLEMENTATION FOR WEAR PARAMETERS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
    8. Fabric Database and Fuzzy Logic Models for Evaluating Fabric Performance
      1. ABSTRACT
      2. INTRODUCTION
      3. PROGRESS OVERVIEW
      4. FABRIC DATABASE
      5. FUZZY CLUSTERING FOR PREDICTING FABRIC DRAPE/TAILORABILITY
      6. FUZZY COMPREHENSIVE METHOD FOR EVALUATING APPAREL COMFORT
      7. FUZZY NEURAL NETWORK FOR GRADING FABRIC SOFTNESS
      8. CONCLUSION AND FURTHER WORK
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. KEY TERMS
    9. Applying Fuzzy Data Mining to Tourism Area
      1. ABSTRACT
      2. INTRODUCTION
      3. FSQL A LANGUAGE FOR FLEXIBLE QUERIES
      4. DMFSQL FUNCTIONALITY
      5. EXPERIMENTAL RESULTS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS
  12. Fuzzy Data Mining
    1. Fuzzy Classification on Relational Databases
      1. ABSTRACT
      2. MOTIVATION
      3. CONCEPTUAL BASIS
      4. IMPLEMENTATION
      5. APPLICATIONS
      6. CONCLUSION AND FURTHER RESEARCH ISSUES
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
      10. ENDNOTES
    2. Incremental Discovery of Fuzzy Functional Dependencies
      1. ABSTRACT
      2. INTRODUCTION
      3. THE SIMILARITY-BASED FUZZY RELATIONAL DATA MODEL
      4. FUNCTIONAL DEPENDENCIES BASED ON EQUIVALENCE CLASSES
      5. VALIDATION OF FUZZY FUNCTIONAL DEPENDENCIES
      6. INCREMENTAL SEARCH FOR FUNCTIONAL DEPENDENCIES
      7. NUMERICAL EXPERIMENTS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
    3. Data Dependencies in Codd's Relational Model with Similarities1
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. RANKED TABLES OVER DOMAINS WITH SIMILARITIES AND THEIR DATA DEPENDENCIES
      5. OVERVIEW OF APPROACHES TO FUNCTIONAL DEPENDENCIES IN CODD'S MODEL WITH SIMILARITIES
      6. CONCLUSION AND RESEARCH TOPICS
      7. REFERENCES
      8. KEY TERMS
      9. ENDNOTE
    4. Fuzzy Inclusion Dependencies in Fuzzy Databases
      1. ABSTRACT
      2. INTRODUCTION AND BACKGROUND
      3. FUZZY RELATIONS
      4. FUZZY INCLUSION DEPENDENCIES
      5. DISCOVERY OF FUZZY INCLUSION DEPENDENCIES
      6. SEARCH FOR FIDαs BETWEEN TWO FUZZY RELATIONS
      7. CONCLUSION
      8. SCOPE FOR FUTURE WORK
      9. REFERENCES
      10. KEY TERMS
    5. A Distributed Algorithm for Mining Fuzzy Association Rules in Traditional Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. IDENTIFYING INTERESTING ASSOCIATIONS
      5. DISTRIBUTED MINING OF FUZZY ASSOCIATION RULES
      6. EXPERIMENTAL RESULTS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    6. Applying Fuzzy Logic in Dynamic Causal Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. DYNAMIC CAUSAL MINING
      4. MEASUREMENTS
      5. AN ILLUSTRATIVE EXAMPLE
      6. FUZZY APPROACH
      7. FUZZY ALGORITHM
      8. EXPERIMENT
      9. CONCLUSION AND FUTURE LINES
      10. REFERENCES
      11. KEY TERMS
    7. APPENDIX A: DATA SETS
    8. Fuzzy Sequential Patterns for Quantitative Data Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUZZY SEQUENTIAL PATTERN MINING: A FRAMEWORK
      5. RUNNING EXPERIMENTS
      6. FUTURE TRENDS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS
    9. A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. FLEXIBLE ENTITY RESOLUTION ARCHITECTURE
      5. FRAMEWORK CHARACTERISTICS
      6. PERFORMANCE AND ADAPTATION EVALUATION
      7. CONCLUSION
      8. ACKNOWLEDGMENTS
      9. REFERENCES
      10. KEY TERMS
    10. Fuzzy Decision-Tree-Based Analysis of Databases
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUZZY DECISION TREE ANALYSIS OF LOW-PAY PROBLEM
      5. FUTURE TRENDS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
      10. ENDNOTE
    11. Fuzzy Outranking Methods Including Fuzzy PROMETHEE
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUZZY PROMETHEE ANALYSES
      5. FUTURE TRENDS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS
    12. Fuzzy Imputation Method for Database Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. IMPUTATION METHODS
      4. FUZZY MAJORITY IMPUTATION
      5. CONCLUSION
      6. ACKNOWLEDGMENT
      7. REFERENCES
      8. KEY TERMS
    13. Intelligent Fuzzy Database Management Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FUZZY QUERIES AND DATA MINING
      5. FROM FUZZY DATA MINING TO FUZZY MINING AGENTS
      6. INTEGRATION OF FUZZY DATA MINING INTO MULTIAGENT SYSTEMS
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS
  13. About the Contributors
  14. Index