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ORCIDSoft Computing for Knowledge Discovery and Data Mining 2008
- Oded Maimon, Lior Rokach:
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
Evolutionary Methods
- Alex Alves Freitas:
A Review of evolutionary Algorithms for Data Mining. 79-111 - Murilo Coelho Naldi, André Carlos Ponce de 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 de Leon Ferreira de Carvalho:
evolutionary Design of Code-matrices for Multiclass Problems. 153-184
Fuzzy Logic Methods
- 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 José 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
Advanced Soft Computing Methods and Areas
- 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
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