HPDM 2005
April 24th, Orlando
Tentative Schedule

• 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)