279 | -- | 298 | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken. Bayesian network classifiers: Beyond classification accuracy |
299 | -- | 318 | Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral. A memory efficient semi-Naive Bayes classifier with grouping of cases |
319 | -- | 341 | Yu Qu, Hongye Su, Lichao Guo, Jian Chu. A novel SVM modeling approach for highly imbalanced and overlapping classification |
343 | -- | 356 | Damir Krstinic, Ivan Slapnicar. Grid-based mode seeking procedure |
357 | -- | 373 | Nguyen Duc Thang, Lihui Chen, Chee Keong Chan. Robust mixture model-based clustering with genetic algorithm approach |
375 | -- | 398 | Dengyao Mo, Samuel H. Huang. Feature selection based on inference correlation |
399 | -- | 411 | Jianping Yang, Hong-Zhong Huang, Qiang Miao, Rui Sun. A novel information fusion method based on Dempster-Shafer evidence theory for conflict resolution |
413 | -- | 441 | Maria Halkidi, Diomidis Spinellis, George Tsatsaronis, Michalis Vazirgiannis. Data mining in software engineering |
443 | -- | 462 | Jesus A. Gonzalez, Ivan Olmos, Leopoldo Altamirano Robles, Blanca A. Morales, Carolina Reta, Martha C. Galindo, Jose E. Alonso, Ruben Lobato. Leukemia identification from bone marrow cells images using a machine vision and data mining strategy |