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IMA Hot Topics Workshop
Data Mining and Industrial Applications
November 18-20, 1996

Organizers:
George Cybenko (Dartmouth College) and Avner Friedman (IMA)

Data Mining is becoming increasingly important in industry where one would like to make decisions such as to mail/not mail a catalog, how to maximize customer's satisfaction, what message to send on the networks to specific groups of callers, etc. The modeling issues combine methods of pattern recognition, computer science and statistics.

Given database, one would like to design partitions that give accurate description; feature analysis is required to determine where are the information bearing variables; non-parametric techniques and neural networks may possibly be used to achieve very high insight. The goal of data mining is to achieve predictive modeling, based on accuracy and insight.

The period of concentration brought together researchers from industry and university in order to (i) identify the current and future problem areas, (ii) review the mathematical and statistical approaches presently being used, and (iii) discuss and determine which research directions would be most promising.

Workshop Schedule

Click on the titles to find abstracts and/or links to presentation materials

SCHEDULE for MONDAY, NOVEMBER 18
A.Friedman, R.Gulliver, G. Cybenko Welcome and Orientation
George Cybenko,
Darmouth College
Introductory Remarks
Chid Apte,
IBM Watson Research Labs
Data Mining and its Industrial Applications
Daryl Pregibon,
AT & T Research
 
Abhiram Ranade,
Indian Institute of Technology
Computer Science Colloquium: Bandwidth-efficient parallel computation
SCHEDULE for TUESDAY, NOVEMBER 19
Mark Embrechts,
Rensselaer Polytechnical Inst.
Neural networks for data mining and knowledge discovery
Bala Iyer,
IBM Santa Teresa Labs
Money Mining
Vipin Kumar,
University of Minnesota
Parallel Data Mining Algorithms
SCHEDULE for WEDNESDAY, NOVEMBER 20
Simon Kasif,
Johns Hopkins University
Towards High-Performance Intelligent Systems for Data Modelling
Gregory Piatetsky-Shapiro,
GTE Labs, Waltham
Developing Industrial Data Mining and Knowledge Discovery Applications: an Overview of Issues
Ramasamy Uthurusamy,
General Motors R & D Center
Architectures for Data Mining Over Enterprise Intranets
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1996-1997 Mathematics in High Performance Computing

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