REGISTRATION
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Registration to KDD99 is a prerequisite for attending this
workshop. On-site registration for KDD99 begins Saturday Aug. 14,
1999 at 3PM in front of Salon F at Marriott Hotel.
There is no separate registration fee for the workshop, but the
workshop attendance is by invitation only, and the number of
participants in the workshop will be limited to 60. If you would like
to attend the workshop, please send ASAP an email message to
za...@cs.rpi.edu with a brief statement of your research/work
interests.
ADVANCE PROGRAM
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8:45am, Opening
9:00-9:40am, Invited Talk: Collection-Based Data Management
Reagan Moore, San Diego Supercomputer Center, USA
9:40-10:30am, Session I: Mining Frameworks
A high performance implementation of the data space transfer protocol (DSTP)
S. Bailey, E. Creel, R. Grossman, S. Gutti, H. Sivakumar,
University of Illinois-Chicago, USA
Active data mining in a distributed setting
S. Parthasarathy, S. Dwarkadas, M. Ogihara, University of
Rochester, USA
10:30-10:45am, Break
10:45-11:25am, Invited Talk: Large-Scale Data Mining Applications:
Requirements and Architectures
Umeshwar Dayal, Hewlitt-Packard Corp., USA
11:25-12:15am, Session II: Association Rules
Parallel branch-and-bound graph search for correlated association rules
S. Morishita, A. Nakaya, University of Tokyo, Japan
Parallel algorithms for mining association rule mining on large
scale PC Clusters
T. Shintani and M. Kitsuregawa, University of Tokyo, Japan
12:15-2:00pm, Lunch Break
2:00-2:40pm, Invited Talk: Integrated delivery of large-scale data
mining systems
Graham Williams, CSIRO, Australia
2:40-3:30pm, Session III: Clustering and Sequences
A data clustering algorithm on distributed memory machines
I. S. Dhillon and D. S. Modha , IBM Almaden Research Center, USA
Parallel Sequence Mining on SMP
M. Zaki, Rensselaer Polytechnic Institute, USA
3:30-3:45pm, Coffee break
3:45-4:25pm, Invited Talk: Terabyte Challenge
Yike Guo and Bob Grossman, Imperial College, UK, and University of
Illinois-Chicago, USA
4:25-5:15pm, Session IV: Classification
Efficient parallel classification using dimensional aggregates
S. Goil and A. Choudhary , Northwestern University, USA
Learning rules from distributed data
L.O. Hall, N. Chawla, K.W. Bowyer, and W. P. Kegelmeyer,
University of Couth Florida and Sandia National Labs., USA
5:15-6:15pm, Panel: Large-Scale Data Mining: Where is it Headed?
Panelists:
Vipin Kumar, University of Minnesota
Ron Musick, Lawrence Livermore National Labs
Foster Provost, Bell Atlantic
Mohammed Zaki (moderator), Rensselaer Polytechnic Institute
6:15pm, Closing
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