Soft Computing for Knowledge Discovery and Data Mining 2008

Oded Maimon, Lior Rokach (Eds.): Soft Computing for Knowledge Discovery and Data Mining. Springer 2008, ISBN 978-0-387-69934-9

Oded Maimon, Lior Rokach:
Introduction to Soft Computing for Knowledge Discovery and Data Mining. 1-13

Neural Network Methods

G. Peter Zhang:
Neural Networks For Data Mining. 17-44
Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan-Ling Pan, Rudy Setiono:
Improved SOM Labeling Methodology for Data Mining Applications. 45-75

Alex Alves Freitas:
A Review of evolutionary Algorithms for Data Mining. 79-111
Murilo Coelho Naldi, André Carlos Ponce Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
Genetic Clustering for Data Mining. 113-132
Gisele L. Pappa, Alex Alves Freitas:
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. 133-152
Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho:
evolutionary Design of Code-matrices for Multiclass Problems. 153-184

Lior Rokach:
The Role of Fuzzy Sets in Data Mining. 187-203
Yixin Chen:
Support Vector Machines and Fuzzy Systems. 205-223
Jorge Casillas, Francisco J. Martínez-López:
KDD in Marketing with Genetic Fuzzy Systems. 225-239
Zengchang Qin, Jonathan Lawry:
Knowledge Discovery in a Framework for Modelling with Words. 241-276

Ajith Abraham, Swagatam Das, Sandip Roy:
Swarm Intelligence Algorithms for Data Clustering. 279-313
Alon Schclar:
A Diffusion Framework for Dimensionality Reduction. 315-325
Christos Dimou, Andreas L. Symeonidis, Pericles A. Mitkas:
Data Mining and Agent Technology: a fruitful symbiosis. 327-362
Hong Cheng, Philip S. Yu, Jiawei Han:
Approximate Frequent Itemset Mining In the Presence of Random Noise. 363-389
Huy Nguyen Anh Pham, Evangelos Triantaphyllou:
The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining. 391-431