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Titlebook: Soft Computing for Knowledge Discovery and Data Mining; Oded Maimon,Lior Rokach Book 2008 Springer-Verlag US 2008 Bayesian network.Cluster

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Data Mining and Agent Technology: a fruitful symbiosis requested. And though the need for well-established engineering approaches for building and evaluating such intelligent systems has emerged, currently no widely accepted methodology exists, mainly due to lack of consensus on relevant definitions and scope of applicability. Even existing well-tested
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Neural Networks For Data Mininguding feedforward multilayer networks, Hopfield networks, and Kohonen‘s self-organizing maps. Modeling issues and applications of these models for data mining are discussed..Key words: neural networks, regression, classification, prediction, clustering
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Genetic Clustering for Data Mining important to those domains. In this chapter, the authors present a survey of the use of GAs for clustering applications. A variety of encoding (chromosome representation) approaches, fitness functions, and genetic operators are described, all of them customized to solve problems in such an application context.
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