Meetings
From: Mohammed Zaki
Date: Wed, 6 Mar 2002 12:38:16 -0500
Subject: 2nd SIAM Int'l Conf. on Data Mining, Arlington, VA, April 11-13, 2002
CALL FOR PARTICIPATION
Second SIAM International Conference on Data Mining
Hyatt Regency, Crystal City
Arlington, Virginia, USA
April 11-13, 2002
http://www.siam.org/meetings/sdm02/
REGISTRATION DEADLINE: 20th MARCH 2002 !!!
This conference provides a forum for the presentation of recent
results in data mining, including; applications, algorithms, software,
and systems. Proceedings of the conference will be available both
online at the SIAM Web site and in hard copy form. The main highlight
of the conference are given below. See the conference web page for
additional details.
Keynote Talks:
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- Graph Mining: Discovery in Large Networks
Daryl Pregibon, ATAT&Tamp;T Shannon Laboratories
- Mathematics at the National Security Agency
James R. Schatz, National Security Agency
- Mixture Models for Data Exploration and Prediction
Padhraic Smyth, University of California, Irvine
- Web Mining at Google
Sergey Brin, Google, Inc.
Panel:
------
- Role of Data Mining in Cyber Threat Analysis
Moderator: Vipin Kumar, AHPCRC - University of Minnesota
Tutorials:
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- Data Mining in the Face of Contaminated and Incomplete Records
Roald K. Pearson, ETH Zurich
- Enterprise Customer Data Mining for E-Business
Usama Fayyad, Neal Rothleder and Paul Bradley, digiMine, Inc.
- Problems, Solutions and Research in Data Quality
Tamraparni Dasu and Theodore Johnson, ATAT&Tamp;T Labs Research
- Text Mining for Bioinformatics
Hinrich Schutze, Novation Bioscience
Workshops (on April 13th):
--------------------------
- High Performance Data Mining
- Web Analytics
- Text Mining
- Discrete Mathematics and Data Mining
- Clustering High Dimensional Data and its Applications
- Mining Scientific Datasets
Paper Sessions:
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- Mining frequent Patterns
- Mining Large Data Sets
- Applications
- Visualization & Applications
- Support Vector Machines and Neural Networks
- Clustering
- Classification & Decision Tables
- Causality Rules & Relation Learning
- Time Series Analysis
- Mining Sequential & Structured Patterns
Conference Co-Chairs:
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R. Grossman, Magnify, Inc. and Univ. of Illinois at Chicago
R. Motwani, Stanford University
Program Co-Chairs:
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J. Han, Simon Fraser University, Canada
H. Mannila, Nokia Research, Finland
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