| 1 | -- | 3 | Sankar K. Pal, Ashish Ghosh. Soft computing data mining |
| 5 | -- | 12 | Sankar K. Pal. Soft data mining, computational theory of perceptions, and rough-fuzzy approach |
| 13 | -- | 35 | Deborah R. Carvalho, Alex Alves Freitas. A hybrid decision tree/genetic algorithm method for data mining |
| 37 | -- | 83 | Krzysztof J. Cios, Lukasz A. Kurgan. CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules |
| 85 | -- | 101 | Yifeng Zhang, Siddhartha Bhattacharyya. Genetic programming in classifying large-scale data: an ensemble method |
| 103 | -- | 122 | William H. Hsu. Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning |
| 123 | -- | 133 | Ashish Ghosh, Bhabesh Nath. Multi-objective rule mining using genetic algorithms |
| 135 | -- | 156 | Krista Lagus, Samuel Kaski, Teuvo Kohonen. Mining massive document collections by the WEBSOM method |
| 157 | -- | 173 | Huidong Jin, Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong. Expanding Self-Organizing Map for data visualization and cluster analysis |
| 175 | -- | 200 | Ronald R. Yager. A framework for multi-source data fusion |
| 201 | -- | 218 | Michael M. Yin, Jason Tsong-Li Wang. GeneScout: a data mining system for predicting vertebrate genes in genomic DNA sequences |