Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration / Earl Cox
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...
Main Author: | Cox, Earl |
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Format: | Book |
Publication: |
San Francisco : Morgan Kaufmann, 2005 |
Physical Description: | XXI, 530 p. ; 24 cm |
Clasificación CDU: |
004.421:575.8 681.3 * 681.3 |
Summary: |
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. |
Collection: |
The Morgan Kaufmann series in data management systems
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Subjects: | |
Cursos: |
Máster Universitario en Métodos de Investigación en Ciencias Económicas y Empresariales - Curso 1- La Gestión de la Incertidumbre |
ISBN: |
0121942759 |
Córdoba - Depósito
Copy 101937 | Available |
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