Soft Computing for Knowledge Discovery and Data Mining

By Lior Rokach

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 144194351X
• ISBN13: 9781441943514
• Release Date: November 2010
• Publisher: Springer
• Length: 433 Pages
• Weight: 1.37 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"