Fall 1996
IMA "Hot Topic" 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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