Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski.

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algori...

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Detalles Bibliográficos
Autores principales: Cios, Krzysztof J. (Autor), Pedrycz, Witold (Autor), Swiniarski, Roman W. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer US : Imprint: Springer, 1998.
Edición:1st ed. 1998.
Colección:The Springer International Series in Engineering and Computer Science, 458
Springer eBook Collection.
Materias:
Data structures (Computer science).
Information storage and retrieval.
Artificial intelligence.
Information technology.
Business—Data processing.
Electronic resources (E-books)
Acceso en línea:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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