gps0@bunny.gte.com (Gregory Piatetsky-Shapiro) (03/19/89)
Call for Participation:
IJCAI-89 Workshop on KNOWLEDGE DISCOVERY IN DATABASES
to be held during IJCAI, tentatively August 20, 1989. Detroit MI, USA
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The growth in the amount of available databases far outstrips the growth of
corresponding knowledge. This creates both a need and an opportunity for
extracting knowledge from databases. Many recent results have been reported on
extracting different kinds of knowledge from databases, including diagnostic
rules, drug side effects, classes of stars, rules for expert systems, and rules
for semantic query optimization.
Knowledge discovery in databases poses many interesting problems, especially
when databases are large. Such databases are usually accompanied by substantial
domain knowledge which can significantly facilitate discovery. Access to large
databases is expensive - hence the need for sampling and other statistical
methods. Finally, knowledge discovery in databases can benefit from many
available tools and techniques from several different fields including expert
systems, machine learning, intelligent databases, knowledge acquisition, and
statistics.
This workshop will bring together researchers and practitioners in
these areas. Topics of interest include:
o Discovery and use of approximate rules
o Knowledge-based discovery methods
o Integration of knowledge-based and statistical methods
o Efficient heuristic algorithms for discovery
o Automatic knowledge acquisition
o Construction of expert systems from data
o Discovery in medical and scientific data
o Bias for human understandability of discovered knowledge
o Learning query optimization rules and integrity constraints
o Knowledge discovery as a threat to database security and privacy
Please send 3 copies of either an extended abstract (up to 5 pages), a short
paper (up to 10 pages), a discussion of an important research topic (few pages)
or a description of actual discovery results to workshop chairman:
Gregory Piatetsky-Shapiro Email: gps0%gte.com@relay.cs.net
GTE Laboratories Phone: (617) 466-4236
40 Sylvan Road
Waltham MA 02254 USA
Papers Due May 20, 1989
Acceptance notification June 25, 1989
Revised version due August 1, 1989
To encourage active discussion, workshop participation will be strictly limited.
Workshop proceedings will be distributed to participants and the workshop report
will be published in AI magazine.
------------Program Committee---------------
Jaime Carbonell (Carnegie-Mellon University)
William Frawley (GTE Laboratories, Waltham MA)
Kamran Parsaye (IntelligenceWare, Los Angeles)
J. Ross Quinlan (University of Sydney, Australia)
Michael Siegel (Boston University)
Ramasamy Uthurusamy (GM Research Laboratories, Warren MI)