Fuzzy modeling and genetic algorithms for data mining and exploration /

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Cox, Earl
Format: Electronic eBook
Language:Inglés
Published: San Francisco, CA : Elsevier/Morgan Kaufmann, ©2005.
Series:Morgan Kaufmann series in data management systems.
Subjects:
Data mining.
Fuzzy logic.
Genetic algorithms.
Exploration de données (Informatique)
Logique floue.
Algorithmes génétiques.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part I Concepts and Issues; Chapter 1 Foundations and Ideas; Chapter 2 Principal Model Types; Chapter 3 Approaches to Model Building; Part II Fuzzy Systems; Chapter 4 Fundamental Concepts of Fuzzy Logic; Chapter 5 Fundamental Concepts of Fuzzy Systems; Chapter 6 Fuzzy SQL and Intelligent Queries; Chapter 7 Fuzzy Clustering; Chapter 8 Fuzzy Rule Induction; Part III Evolutionary Strategies; Chapter 9 Fundamental Concepts of Genetic Algorithms; Chapter 10 Genetic Resource Scheduling Optimization; Chapter 11 Genetic Tuning of Fuzzy Models; Index.

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