Abstract is missing.
- Introduction to Soft Computing for Knowledge Discovery and Data MiningOded Maimon, Lior Rokach. 1-13 [doi]
- Neural Networks For Data MiningG. Peter Zhang. 17-44 [doi]
- Improved SOM Labeling Methodology for Data Mining ApplicationsArnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono. 45-75 [doi]
- A Review of evolutionary Algorithms for Data MiningAlex Alves Freitas. 79-111 [doi]
- Genetic Clustering for Data MiningMurilo Coelho Naldi, André Carlos Ponce Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka. 113-132 [doi]
- Discovering New Rule Induction Algorithms with Grammar-based Genetic ProgrammingGisele L. Pappa, Alex Alves Freitas. 133-152 [doi]
- evolutionary Design of Code-matrices for Multiclass ProblemsAna Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho. 153-184 [doi]
- The Role of Fuzzy Sets in Data MiningLior Rokach. 187-203 [doi]
- Support Vector Machines and Fuzzy SystemsYixin Chen. 205-223 [doi]
- KDD in Marketing with Genetic Fuzzy SystemsJorge Casillas, Francisco J. Martínez-López. 225-239 [doi]
- Knowledge Discovery in a Framework for Modelling with WordsZengchang Qin, Jonathan Lawry. 241-276 [doi]
- Swarm Intelligence Algorithms for Data ClusteringAjith Abraham, Swagatam Das, Sandip Roy. 279-313 [doi]
- A Diffusion Framework for Dimensionality ReductionAlon Schclar. 315-325 [doi]
- Data Mining and Agent Technology: a fruitful symbiosisChristos Dimou, Andreas L. Symeonidis, Pericles A. Mitkas. 327-362 [doi]
- Approximate Frequent Itemset Mining In the Presence of Random NoiseHong Cheng, Philip S. Yu, Jiawei Han. 363-389 [doi]
- The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data MiningHuy Nguyen Anh Pham, Evangelos Triantaphyllou. 391-431 [doi]