Meetings

4th International Workshop on Parallel and Distributed Data
Mining (PDDM01), April 27, 2001 San Francisco, CA, USA
URL: http://www.cs.rpi.edu/~zaki/PDDM01/
with 15th International Parallel and Distributed Processing Symposium

This is the 4th workshop on this theme held annually in conjunction
with the IPDPS conference. We have assembled a strong program, and look
forward to increased participation from both academia and industry.
To attend the workshop, participants must register for the main IPDPS
conference. Details on registration and hotel accommodation can be
obtained at: http://www.ipdps.org

WORKSHOP SCHEDULE:
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9:00 - 9:15 Opening Remarks
9:15 -10:00 Keynote Talk
10:00-10:30 Coffee Break
10:30-12:00 Session I
12:00-13:30 Lunch
13:30-14:15 Invited Talk
14:15-15:15 Session II
15:15-15:20 Concluding Remarks
15:20-15:30 Coffee Break

SESSION INFORMATION:
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KEYNOTE TALK: Scalable Parallel Data Mining for High-Dimensional Data,
Alok Choudhary, Northwestern University

SESSION I:
Efficient Data Mining: Scripting and Scalable Parallel Algorithms,
Peter Christen, Markus Hegland, Ole M. Nielsen, Stephen Roberts, Peter
Strazdins, Tatiana Semenova, Irfan Altas

An efficient association mining implementation on clusters of SMP,
Ruoming Jin and Gagan Agrawal

Implementation and performance evaluation of dynamic scheduling for
parallel decision tree generation, Kazuto Kubota, Akihiko Nakase and
Shigeru Oyanagi

INVITED TALK: Ubiquitous Mining of Distributed Data, Hillol Kargupta,
University of Maryland Baltimore County

SESSION II:
Establishing an API for Network-Aware Data Mining, Srinivasan
Parthasarathy

Incremental Quantitative Rule Derivation by Multidimensional Data
Partitioning, Junping Sun

WORKSHOP CO-CHAIRS:
-------------------
Mohammed J. Zaki, Rensselaer Polytechnic Institute (zaki@cs.rpi.edu )
Vipin Kumar, University of Minnesota (kumar@cs.umn.edu)
David Skillicorn, Queens University, Canada (skill@cs.queensu.ca)