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Fuzzy modeling and genetic algorithms for data mining and exploration /

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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cox, Earl
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco, CA : Elsevier/Morgan Kaufmann, ©2005.
Colección:Morgan Kaufmann series in data management systems.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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. You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed inst.
Descripción Física:1 online resource (xxi, 530 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780080470597
0080470599
1280961295
9781280961298
9786610961290
6610961298