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Data Mining Methods for Knowledge Discovery The Springer International Series in Engineering and Computer Science



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This volume provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. The book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, and mac... Read more
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Features
Author Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski
Format Hardcover
ISBN 9780792382522
Publication Date 17/06/2007
Publisher Kluwer Academic Publishers Group
Manufacturer Kluwer Academic Publishers Group
Description

This volume provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. The book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, and machine learning.


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