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
Autor principal: Cox, Earl (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: San Francisco, CA : Elsevier/Morgan Kaufmann c2005.
Edición:1st edition
Colección:Morgan Kaufmann series in data management systems.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627129406719
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
Notas:Description based upon print version of record.
Descripción Física:1 online resource (553 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781280961298
9786610961290
9780080470597