gps0@GTE.COM (Gregory Piatetsky-Shapiro) (12/12/90)
Call for Papers for AAAI Workshop on
K N O W L E D G E D I S C O V E R Y I N D A T A B A S E S
Anaheim, California, July 14-15, 1991.
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The growing data and information glut creates both a need and an opportunity
for extracting knowledge from databases. Earth observation satellites are
expected to produce terabytes of data. Increasing computerization of
businesses generates large databases, which some forward looking companies
(airlines, banks, insurance companies, etc.) are already searching for
knowledge offering competitive advantage. Several statistical and machine
learning tools for discovery in databases are available commercially.
Recent research progress, coupled with reported application successes,
created a significant interest in KDD and led to an IJCAI-89 workshop on KDD
and the {\em Knowledge Discovery in Databases} collection (AAAI/MIT Press,
Spring 1991).
Discovery in databases is not a strict sub-field of AI. Rather it is an area
of common interest for researchers in machine learning, statistics,
intelligent databases, knowledge acquisition for expert systems, and data
visualization. Too often researchers in one of these areas are unaware of
important tools and techniques in the other areas. A major goal of the
workshop is to bring together researchers in different areas to
cross-fertilize the various research approaches and discuss the unifying
themes of KDD, such as the use of domain knowledge, dealing with uncertainty
and imperfect data, and interactive, human-oriented presentation.
This 1.5 day workshop will bring together academic and industrial researchers,
business practitioners, and tool developers. Specific topics of interest
include:
Integration of Knowledge-based and Statistical Approaches
Integration of Different Discovery Methods
Use of Domain Knowledge in Discovery and Re-use of Discovered Knowledge
Discovery of Causal Structure in Data
Interactive Systems for Data Exploration and Discovery
Human-Oriented Presentation, including Data Visualization
High-level Query Answering and Data Summarization
Discovery in Complex Data or Text
Ethics of Discovery in Social Databases
Successful Applications in Medicine, Business and other areas.
Please submit 3 copies of either an extended abstract (about 5 pages), a short
paper (about 10 pages), a comparative survey of existing tools and techniques,
or a description of a successful application to the workshop chairman:
Gregory Piatetsky-Shapiro Important Dates-----------------------
GTE Laboratories, M/S 45 Submissions Due: March 8, 1991
40 Sylvan Road, Waltham, MA 02254 Acceptance Notification: April 15, 1991
e-mail: gps0@gte.com Final Version due: May 17, 1991
fax: 617-890-9320 tel: 617-466-4236
To encourage active discussion, workshop participation will be limited.
Working notes will be produced by AAAI and distributed to participants.
Organizing Committee:
Tom Dietterich (Oregon State University)
William Frawley (GTE Laboratories)
Brian Gaines (University of Calgary)
Chris Matheus (GTE Laboratories)
Mary McLeish (University of Guelph)
Michael Siegel (MIT Sloan School)
Samy Uthurusamy (GM Research Laboratories)
Jan Zytkow (Wichita State University)
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Gregory Piatetsky-Shapiro
GTE Laboratories, MS-45 email: gps0@bunny.gte.com
40 Sylvan Road fax: (617) 890-9320
Waltham MA 02254 USA phone: (617) 466-4236