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 BibTeX

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

G. Peter Zhang:
Neural Networks For Data Mining. 17-44
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Arnulfo P. Azcarraga, Ming-Huei Hsieh, Shan-Ling Pan, Rudy Setiono:
Improved SOM Labeling Methodology for Data Mining Applications. 45-75
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Lior Rokach:
The Role of Fuzzy Sets in Data Mining. 187-203
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Yixin Chen:
Support Vector Machines and Fuzzy Systems. 205-223
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Jorge Casillas, Francisco J. Martínez-López:
KDD in Marketing with Genetic Fuzzy Systems. 225-239
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Zengchang Qin, Jonathan Lawry:
Knowledge Discovery in a Framework for Modelling with Words. 241-276
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Ajith Abraham, Swagatam Das, Sandip Roy:
Swarm Intelligence Algorithms for Data Clustering. 279-313
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Alon Schclar:
A Diffusion Framework for Dimensionality Reduction. 315-325
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Christos Dimou, Andreas L. Symeonidis, Pericles A. Mitkas:
Data Mining and Agent Technology: a fruitful symbiosis. 327-362
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Hong Cheng, Philip S. Yu, Jiawei Han:
Approximate Frequent Itemset Mining In the Presence of Random Noise. 363-389
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Huy Nguyen Anh Pham, Evangelos Triantaphyllou:
The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining. 391-431
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