DMKD'97 Pre-Conf. Data Mining Workshop:
Call For Participation and Registration

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.

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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: Surajit Chaudhuri, "Issues in Decision Support over SQL Databases"
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

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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

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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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REGISTRATION FORM