Author(s): Maurice Kleman, Oleg D. Lavrentovich
Publisher: Springer
Year: 2008
Language: English
Pages: 426
cover......Page 1
Soft Computing for Knowledge Discovery and Data Mining......Page 2
Preface......Page 5
Contents......Page 7
List of Contributors......Page 9
Introduction to Soft Computing for Knowledge Discovery and Data Mining......Page 12
Neural Networks For Data Mining......Page 25
Improved SOM Labeling Methodology for Data Mining Applications......Page 53
A Review of Evolutionary Algorithms for Data Mining......Page 84
Genetic Clustering for Data Mining......Page 117
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming......Page 137
Evolutionary Design of Code-matrices for Multiclass Problems......Page 157
Part IV Advanced Soft Computing Methods and Areas......Page 8
The Role of Fuzzy Sets in Data Mining......Page 189
Support Vector Machines and Fuzzy Systems......Page 206
KDD in Marketing with Genetic Fuzzy Systems......Page 225
Knowledge Discovery in a Framework for Modelling with Words......Page 240
Swarm Intelligence Algorithms for Data Clustering......Page 276
A Diffusion Framework for Dimensionality Reduction......Page 311
Data Mining and Agent Technology: a fruitful symbiosis......Page 322
Approximate Frequent Itemset Mining In the Presence of Random Noise......Page 358
The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining......Page 385
Index......Page 426
