1. Editorial

   • Usama M. Fayyad

   Legacy Pages: 5 - 10

2. Statistical Themes and Lessons for Data Mining

   • Clark Glymour
   • David Madigan
   • Padhraic Smyth

   OriginalPaper Pages: 11 - 28

3. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals

   • Jim Gray
   • Surajit Chaudhuri
   • Hamid Pirahesh

   OriginalPaper Pages: 29 - 53

4. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality

   • Jerome H. Friedman

   OriginalPaper Pages: 55 - 77

5. Bayesian Networks for Data Mining

   • David Heckerman

   OriginalPaper Pages: 79 - 119

6. Advanced Scout: Data Mining and Knowledge Discovery in NBA Data

   • Inderpal Bhandari
   • Edward Colet
   • Krishnakumar Ramanujam

   OriginalPaper Pages: 121 - 125