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(DBWORLD) Final Program: Large-Scale KDD Workshop (KDD99)

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Mohammed Zaki

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Aug 6, 1999, 3:00:00 AM8/6/99
to
Workshop on Large-Scale Parallel KDD Systems
Sunday, August 15th, 1999, San Diego, CA, USA
in conjunction with
ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD99)
Workshop URL: http://www.cs.rpi.edu/~zaki/WKDD99/

REGISTRATION
-------------

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
----------------
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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