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Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'97)
in cooperation with ACM-SIGMOD'97
Tucson, Arizona, May 11, 1997
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(URL: http://fas.sfu.ca/cs/conf/dmkd97.html)
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. Coupled with the rapid growth of data, data mining has
attracted people from many different fields, including database systems,
data warehouses, machine learning, knowledge acquisition, statistics,
information retrieval, and data visualization. The past conferences and
workshops dedicated to knowledge discovery in databases are associated
with conferences with very diverse themes. It is important to have such
a forum associated with database conferences as well to examine mining
issues particularly related to database systems. Consequently, 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 again in cooperation with SIGMOD.
PROGRAM
The workshop will be held one day before the SIGMOD/PODS'96 conference.
The program is as follows:
8:30--8:35 Opening Remarks
8:35--9:30 Invited Talk
9:30--9:45 Coffee Break
9:45--11:00 Session I Clustering/Classification
A Fast Clustering Algorithm to Cluster Very Large Categorical
Data Sets in Data Mining
Zhexue Huang
Clustering Based On Association Rule Hypergraphs
Eui-Hong Han, George Karypis, Vipin Kumar and Bamshad Mobasher
Ontology-based Induction of High Level Classification Rules
Merwyn G. Taylor, Kilian Stoffel and James A. Hendler
11:00--11:15 Coffee Break
11:15--12:30 Session II Applications
An efficient domain-independent algorithm for detecting
approximately duplicate database records
Alvaro E. Monge and Charles P. Elkan
An Application of Adaptive Data Mining: Facilitating
Web Information Access
Parvathi Chundi and Umeshwar Dayal
Efficient Roll-Up and Drill-Down Analysis for Large Data Sets
Min Wang and Bala Iyer
12:30--14:15 Lunch, Posters, Demos
14:15--15:30 Session III Association Rules
Mining Association Patterns from Nested Databases
Ke Wang
Maintenance of Discovered Association Rules: When to update?
S.D. Lee and David W. Cheung
Efficient Algorithms for Discovering Frequent Sets in
Incremental Databases
Ronen Feldman, Yonatan Aumann, Amihood Amir and Heikki Mannila
15:30--15:45 Coffee Break
15:45--17:00 Session IV Miscellany
Sharing Processing in Data Mining Systems
Arun Swami and Brian Lent
A Pattern Discovery Algebra
Alexander Tuzhilin
On the Complexity of Mining Temporal Trends
Jef Wijsen and Robert Meersman
17:00-18:00 Summary Discussion
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 (han@cs.sfu.ca).
Raymond Ng, University of British Columbia, Canada (rng@cs.ubc.ca).
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