| 11 | -- | 28 | Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth. Statistical Themes and Lessons for Data Mining |
| 29 | -- | 53 | Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, Hamid Pirahesh. Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals |
| 55 | -- | 77 | Jerome H. Friedman. On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality |
| 79 | -- | 119 | David Heckerman. Bayesian Networks for Data Mining |
| 121 | -- | 125 | Inderpal S. Bhandari, Edward Colet, Jennifer Parker, Zachary Pines, Rajiv Pratap, Krishnakumar Ramanujam. Advanced Scout: Data Mining and Knowledge Discovery in NBA Data |