Beschreibung
InhaltsangabeNeural 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.
Inhaltsverzeichnis
-Foundation and Capabilities.- Introduction to Data Mining.- Classification Methods.- Clustering Methods.- Association Rules.- Feature Selection.- Soft Computing Methods.- Fuzzy Set and Fuzzy Logic.- Neural Networks.- Rough Set Theory.- Bayesian Networks.- Evolutionary Algorithms.- Swarm Intelligence.- Support Vector Machines.- Wavelets Methods.- Neuro-fuzzy.- Applications.- Target Marketing Applications.- Medicine Applications.- Manufacturing Applications.