- Session I: Distributed Data Mining (8:30 - 10:00)
- Open DMIX: High Performance Web Services for Distributed Data Mining, R. Grossman, Y. Gu, C. Gupta, D. Hanley, X. Hong, and P. Krishnaswamy
- Distributed Association Mining: An Approximate Method, C. Silvestri and S. Orlando
- Meta Mining Architecture for Supervised Learning, L. A. Kurgan and K. J. Cios
- An Efficient Randomized Algorithm for Distributed Principal Component Analysis from Heterogeneous Data, H. Kargupta and V. Puttagunta

- Coffee Break: 10:00 - 10:30
- Session II: High Performance Data Mining (10:30 - 12:00)
- A Hybrid Parallel Algorithm for Clusteringb Web Documents, S. Xu and J. Zhang
- High Performance Frequent Patterns Extraction Using Compressed FP-Tree,
R. P. Gopalan and Y. G. Sucahyo
- Programming Environment for High Performance Data Mining on the Heterogenous Parallel Computing Platforms, J. Lee
- A Parallel Formulation of the Spatial Auto-Regression Model for Mining Large
Geo-Spatial Datasets, B. M. Kazar, S. Shekhar, D. J. Lilja, and D. Boley

- Lunch Break 12:00 - 1:45 (Attendees on their own)
- Session III: Invited Presentation, Speaker: Sanjay Ranka, Title: Real-time Data Mining on Grids (1:45 - 3:00)