OBJECTIVES
Mining knowledge from large databases and data warehouses is a promising
research area, with high application potential due to the huge amounts of
data accumulated in databases, data warehouses, and other information
repositories. Data mining has attracted people from many different fields,
including database systems, data warehouses, machine learning, knowledge
acquisition, statistics, information retrieval, and data visualization.
In June 1996, we organized a SIGMOD workshop on research issues on data
mining and knowledge discovery. It was well attended and was widely
considered to be successful in creating a forum for database researchers
to exchange their research ideas and results in data mining. To continue
to provide such a forum, we are organizing the second workshop in cooperation
with SIGMOD.
FORMAT
The workshop will be held one day before the SIGMOD/PODS'97 conference.
The plan is to have a full-day workshop, consisting of invited talks,
paper presentation/discussion sessions, a system demo session, and a
panel discussion session. If there are a good number of submissions
and enough interest, we may organize a poster session in parallel with
a data mining system demonstration session.
TOPICS
Major topics of interest include but are not limited to:
Foundations/principles of data mining
Data mining methods and algorithms
Association, classification, and prediction
Concept description: characterization and discrimination
Trend/deviation analysis and outlier detection
Integration of data mining and data warehousing
Mining knowledge in multidimensional databases
Integration of deduction, induction, and OLAP
Statistics, probability and uncertainty in data mining
Interestingness of discovered patterns
Efficiency and scalability in data mining
Parallel and distributed mining algorithms
Languages and interfaces for data mining
Visual data mining and visualization in data mining
Data mining systems and implementations
Data mining toolkits and methodologies
Performance and benchmarks of data mining systems
Mining spatial, temporal, and multimedia data
Data mining in heterogeneous databases and WWW
Integrated discovery systems
Successful data mining application examples
New application challenges and requirements
Inadequacy of current data mining mechanisms
Security and social impact of data mining
Influence of data mining to the advances of database systems
SUBMISSION AND REVIEWS OF POSITION PAPERS and RESEARCH PAPERS.
Authors are invited to submit position papers (limited to 5 pages) and/or
short research papers (or extended abstracts) (limited to 10 pages) on the
above topics. WE ENCOURAGE ELECTRONIC SUBMISSIONS IN THE FORM OF POSTSCRIPT,
LATEX, ETC. but limited to the std 8.5x11 sized paper. If hardcopies are
submitted, five copies will be required. Each submitted paper will be
reviewed by at least three program committee members. Selected papers
from this workshop will be considered for a special issue of the journal:
"Data Mining and Knowledge Discovery".
PROGRAM COMMITTEE
Rakesh Agrawal, IBM Almaden Research Center, USA
Inderpal Bhandari, IBM T.J. Watson Research Center, USA
Nick Cercone, University of Regina, Canada
Ming-Syan Chen, National Taiwan University, Taiwan
David W. Cheung, University of Hong Kong, Hong Kong
Umeshwar Dayal, Hewlett-Packard Laboratories, USA
Usama M. Fayyad, Microsoft Research, USA
Brian Gaines, University of Calgary, Canada
Randy Goebel, University of Alberta, Canada
Jiawei Han, Simon Fraser University, Canada
Tomasz Imielinski, Rutger University, USA
Bala Iyer, IBM Database Technology Institute, USA
Daniel A. Keim, University of Munich, Germany
Willi Kloesgen, GMD, Germany
Hans-Peter Kriegel, University of Munich, Germany
Laks V.S. Lakshmanan, Concordia University, Canada
Hongjun Lu, National University of Singapore, Singapore
Heikki Mannila, University of Helsinki, Finland
Shinichi Morishita, IBM Tokyo Research Center, Japan
Shamkant B. Navathe, Georgia Institute of Technology, USA
Raymond Ng, University of British Columbia, Canada
Shojiro Nishio, Osaka University, Japan
Gregory Piatetsky-Shapiro, GTE Laboratories, USA
Wei-Min Shen, University of Southern California, USA
Ramakrishnan Srikant, IBM Almaden Research Center, USA
Shalom Tsur, Hitachi America Ltd., USA
Alexander Tuzhilin, New York University, USA
Jeffrey D. Ullman, Stanford University, USA
Philip S. Yu, IBM T.J. Watson Research Center, USA
Carlo Zaniolo, Univ. of California at Los Angeles, USA
ORGANIZING COMMITTEE
Jiawei Han, Simon Fraser University, Canada
Laks V.S. Lakshmanan, Concordia University, Canada
Raymond Ng, University of British Columbia, Canada
IMPORTANT DATES
Submissions Due: January 24, 1997
Acceptance Notice: March 14, 1997
Final Version due: April 11, 1997
Send a short abstract of at most 150 words in ascii to rng@cs.ubc.ca by
January 24, 1997.
Five hard copies or one electronic copy of the paper should be submitted
by January 24, 1997, to
Dr. Raymond Ng
Department of Computer Science
University of British Columbia
Vancouver, B.C., V6T 1Z4, Canada
rng@cs.ubc.ca
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