The Third International Conference on
Knowledge Discovery and Data Mining (KDD-97)
August 14-17, 1997
Newport Beach, California, U.S.A.
=================================
Sponsored by the American Association for Artificial Intelligence
in cooperation with the American Statistical Association
Visit the KDD-97 WWW page at http://www-aig.jpl.nasa.gov/kdd97
The rapid growth of data and information has created a need and
an opportunity for extracting knowledge from databases, and both
researchers and application developers have been responding to that need.
Knowledge discovery in databases (KDD), also referred to as data mining,
is an area of common interest to researchers in machine discovery, statistics,
databases, knowledge acquisition, machine learning, data visualization,
high performance computing, and knowledge-based systems. KDD applications
have been developed for astronomy, biology, finance, insurance, marketing,
medicine, and many other fields.
The Third International Conference on Knowledge Discovery and
Data Mining (KDD-97) will follow up the success of KDD-95 and KDD-96
by bringing together researchers and application developers from
different areas focusing on unifying themes.
Suggested Topics
The topics of interest include, but are not limited to:
Theory and Foundational Issues in KDD
* Probabilistic/statistical modeling and uncertainty management
* Data and knowledge representation
* Modeling of structured, unstructured and multimedia data
* Fundamental advances in search, retrieval, and discovery methods
Data Mining Methods and Algorithms
* Probabilistic and statistical models and methods
* Algorithmic complexity, efficiency and scalability issues in data
mining
* Using prior domain knowledge and re-use of discovered knowledge
* Data mining techniques implemented on scalable platforms, including
parallel, distributed and clustered systems
* High dimensional datasets and data preprocessing
* Unsupervised discovery and predictive modeling
KDD Process and Human Interaction
* Models of the KDD process
* Methods for evaluating subjective relevance and utility
* Data and knowledge visualization
* Interactive data exploration and discovery
* Privacy and security
Applications
* Data mining systems and data mining tools
* Application of KDD in business, science, medicine and engineering
* Application of KDD methods for mining knowledge in text, image,
audio, sensor, numeric, categorical or mixed format data
* Resource and knowledge discovery using the Internet
This list of topics is not intended to be exhaustive but an indication
of typical topics of interest. Prospective authors are encouraged to submit
papers on any topics of relevance to knowledge discovery and data
mining.
Demonstration Sessions
KDD-97 also invites working demonstrations of discovery systems.
Contact information for details is provided below.
Submission and Review Criteria
Both research and applications papers are solicited. All submitted
papers will be reviewed on the basis of technical quality, relevance to KDD,
novelty, significance, and clarity. Authors are encouraged to make their
work accessible to readers from other disciplines by including a carefully
written introduction. Papers should clearly state their relevance to KDD.
Please submit 7 hardcopies of a short paper (a maximum of 9 single-spaced
pages not including cover page and bibliography, 1 inch margins,
and 12pt font) to be received by March 10, 1997. A cover page must
include author(s) full address, email, paper title and a 200 word abstract,
and up to 5 keywords. This cover page must accompany the paper. In addition,
an ascii version of the cover page must be submitted electronically
by March 3 1997 (earlier if possible),
preferrably using a WWW form located at http://www-aig.jpl.nasa.gov/kdd97/.
If the WWW form cannot be used, please submit the ascii cover page by email
to kdd97pgm@aig.jpl.nasa.gov, using the template
available by ftp at http://www-aig.jpl.nasa.gov/kdd97/.
Please mail the 7 hardcopies of the full papers to:
AAAI (KDD-97)
445 Burgess Drive
Menlo Park, CA 94025-3496 USA
Phone: (+1 415) 328-3123
Fax: (+1 415) 321-4457
Email: kdd@aaai.org
Web Site: http://www.aaai.org.
***************
IMPORTANT DATES
***************
* Submissions Due: March 10, 1997
* Acceptance Notice: April 28, 1997
* Camera-ready paper due: May 26, 1997
KDD-97 Organization
-------------------
General Conference Chair
Ramasamy Uthurusamy (General Motors Corporation, USA)
Program Co-Chairs
David Heckerman (Microsoft Research, USA)
Heikki Mannila (University of Helsinki, Finland)
Daryl Pregibon (AT&T Labs, USA)
Publicity Chair
Paul Stolorz (Jet Propulsion Laboratory, USA)
Tutorial Chair
Padhraic Smyth (UC Irvine, USA)
Demo and Poster Sessions Chair
Tej Anand (NCR Corporation, USA)
Awards Chair
Gregory Piatetsky-Shapiro (GTE Laboratories, USA)
Panel Chair
Willi Kloesgen (GMD, Germany)
Program Committee
-----------------
Tej Anand (NCR, USA)
Ron Brachman (AT&T Laboratories, USA)
Carla Brodley (Purdue University, USA)
Dan Carr (George Mason University. USA)
Peter Cheeseman (NASA AMES Research Center, USA)
David Cheung (University of Hong Kong, Hong Kong)
Wesley Chu (University of California at Los Angeles, USA)
Gregory Cooper (University of Pittsburgh, USA)
Robert Cowell (City University, UK)
Bruce Croft (University of Massachusetts at Amherst, USA)
Bill Eddy (Carnegie Mellon University, USA)
Charles Elkan (Univeristy of California at San Diego, USA)
Usama Fayyad (Microsoft Research, USA)
Ronen Feldman (Bar-Ilan University, Israel)
Jerry Friedman (Stanford University, USA)
Dan Geiger (Technion, Israel)
Clark Glymour (Carnegie-Mellon University, USA)
Moises Goldszmidt (Stanford Research Institute, USA)
George Grinstein (University of Lowell, USA)
Jiawei Han (Simon Fraser University, Canada)
David Hand (Open University, UK)
David Heckerman (Microsoft Corporation, USA)
Haym Hirsh (Rutgers University, USA)
Jim Hodges (University of Minnesota, USA)
Se June Hong (IBM T.J. Watson Research Center, USA)
Tomasz Imielinski (Rutgers University, USA)
Yannis Ioannidis (University of Wisconsin, USA)
Larry Jackel (AT&T Laboratories, USA)
David Jensen (Univsersity of Massachusetts, USA)
Michael Jordan (Massachusetts Institute of Technology, USA)
Dan Keim (University of Munich, Germany)
Willi Kloesgen (GMD, Germany)
Ronny Kohavi (Silicon Graphics, USA)
David Madigan (University of Washington, USA)
Heikki Mannila (University of Helsinki, Finland)
Brij Masand (GTE Laboratories, USA)
Gary McDonald (General Motors Research, USA)
Eric Mjolsness (University of California at San Diego, USA)
Sally Morton (Rand Corporation, USA)
Richard Muntz (University of California at Los Angeles, USA)
Raymond Ng (University of British Columbia, Canada)
Steve Omohundro (NEC Research, USA)
Gregory Piatetsky-Shapiro (GTE Laboratories, USA)
Daryl Pregibon (Bell Laboratories, USA)
Pat Riddle (Boeing Computer Services, USA)
Jude Shavlik (University of Wisconsin at Madison, USA)
Wei-Min Shen (University of Southern California, USA)
Arno Siebes (CWI, Netherlands)
Avi Silberschatz (Bell Laboratories, USA)
Evangelos Simoudis (IBM Almaden Research Center, USA)
Andrzej Skowron (University of Warsaw, Poland)
Padhraic Smyth (University of California at Irvine, USA)
Ramakrishnan Srikant (IBM Almaden Research Center, USA)
John Stasko (Georgia Institute of Technology, USA)
Sal Stolfo (Columbia University, USA)
Paul Stolorz (Jet Propulsion Laboratory, USA)
Alex Tuzhilin (NYU Stern School, USA)
Ramasamy Uthurusamy (General Motors R&D Center, USA)
Graham Wills (Bell Laboratories, USA)
David Wolpert (IBM Almaden Research Center, USA)
Wojciech Ziarko (University of Regina, Canada)
Jan Zytkow (Wichita State University, USA)
Contact Information
-------------------
For further information, send inquiries regarding
* submission logistics to AAAI at kdd@aaai.org
Phone: (+1 415) 328-3123
Fax: (+1 415) 321-4457
* KDD-97 sponsorship and industry participation to
Ramasamy Uthurusamy samy@gmr.com
Phone: 810-696-0669
Fax: 810-696-0580
* technical program and content to kdd97pgm@aig.jpl.nasa.gov
* demo and poster sessions to tanand@winhitc.atlantaga.ncr.com
* general and publicity issues to kdd97@aig.jpl.nasa.gov
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