Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you’ll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
目 錄
CONTENTS:PrefaceAcknowledgementsIntroductionPART ONE – CONCEPTS AND ISSUES
Chapter 1. FOUNDATIONS AND IDEAS
Chapter 2. PRINCIPAL MODEL TYPES
Chapter 3. APPROACHES TO MODEL BUILDINGPART TWO – FUZZY SYSTEMS
Chapter 4. FUNDAMENTAL CONCEPTS OF FUZZY LOGIC
Chapter 5. FUNDAMENTAL CONCEPTS OF FUZZY SYSTEMS
Chapter 6. FUZZYSQL AND INTELLIGENT QUERIES
Chapter 7. FUZZY CLUSTERING
Chapter 8. FUZZY RULE INDUCTIONPART THREE – EVOLUTIONARY STRATEGIES
Chapter 9. FUNDAMENTAL CONCEPTS OF GENETIC ALGORITHMS
Chapter 10. GENETIC RESOURCE SCHEDULING OPTIMIZATION
Chapter 11. GENETIC TUNING OF FUZZY MODELSReviewReferences
