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...

Descripción completa

Detalles Bibliográficos
Autor principal: Cox, Earl (-)
Formato: Libro
Idioma:Inglés
Publicado: San Francisco Morgan Kaufmann 2005
Colección:The Morgan Kaufmann series in data management systems
Materias:
Ver en Universidad Loyola - Universidad Loyola Granada:https://colectivo.uloyola.es/Record/94979
Solicitar por préstamo interbibliotecario: Correo
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.
Descripción Física:XXI, 530 p. ; 24 cm
ISBN:9780121942755