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Soft Computing for Knowledge Discovery and Data Mining - Oded Maimon

Soft Computing for Knowledge Discovery and Data Mining

By: Oded Maimon (Editor), Lior Rokach (Editor)

Paperback | 4 November 2010

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Neural Network Methods.- to Soft Computing for Knowledge Discovery and Data Mining.- Neural Networks For Data Mining.- Improved SOM Labeling Methodology for Data Mining Applications.- Evolutionary Methods.- A Review of evolutionary Algorithms for Data Mining.- Genetic Clustering for Data Mining.- Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming.- evolutionary Design of Code-matrices for Multiclass Problems.- Fuzzy Logic Methods.- The Role of Fuzzy Sets in Data Mining.- Support Vector Machines and Fuzzy Systems.- KDD in Marketing with Genetic Fuzzy Systems.- Knowledge Discovery in a Framework for Modelling with Words.- Advanced Soft Computing Methods and Areas.- Swarm Intelligence Algorithms for Data Clustering.- A Diffusion Framework for Dimensionality Reduction.- Data Mining and Agent Technology: a fruitful symbiosis.- Approximate Frequent Itemset Mining In the Presence of Random Noise.- The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining.

You Can Find This Book In

Non-FictionComputing & I.T.DatabasesData MiningComputer Networking & CommunicationsComputer ScienceArtificial IntelligencePattern RecognitionComputer HardwareMaintenance & RepairsData WarehousingNetwork Hardware
Computer VisionInformation RetrievalMathematicsProbability & Statistics

Other Editions and Formats

Hardcover

Published: 2nd November 2007

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