Due to the difficulty of handling credit card payment at the SIGMOD'97
conf. site, we will extend the early (check) registration deadline
to May 2 (reaching CS office of Univ. B.C.). We may not be able to
process your credit card payment for on-site registration.
Thanks for your attention,
-- Organization Committee SIGMOD'97 Data Mining Workshop============================================================================ SIGMOD'97 Data Mining Workshop: Last Call For Early Registration ============================================================================
Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'97) in cooperation with ACM-SIGMOD'97 Tucson, Arizona, May 11, 1997 ========================================== (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: "Issues in Decision Support over SQL Databases" Surajit Chaudhuri
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).
------------------------------------------------------------------------------ REGISTRATION FORM ------------------------------------------------------------------------------
SIGMOD'97 Data Mining Workshop Registration Form
(Workshop on Research Issues on Data Mining and Knowledge Discovery in cooperation with ACM-SIGMOD'97, May 11 1997)
For workshop information, please check <http://fas.sfu.ca/cs/conf/dmkd97.html>
PLEASE PRINT: Last Name: First Name: Address: Affiliation: Phone: Fax: Email: (needed_for_email_acknowledgment) ______________________________________________________________________________
Workshop registration includes admission to the workshop, one copy of the workshop proceedings, and refreshment during coffee breaks.
Please circle_the_amount _______ you are paying.
Category US $ Cdn $
Early registration: May 2 (reaching office) 70 100
On-site registration 100 135
Payment can be made by personalized cheque or money order - but no credit card. Please make cheque or money order payable, in US or Canadian currency, to The University of British Columbia.
Three ways to send this registration form:
1. (by postal mail) Department of Computer Science University of British Columbia 2366 Main Mall, Vancouver, B.C. V6T 1Z4 Canada Attn: Holly Mitchell
2. (by fax) (604) 822-5485 Attn: Holly Mitchell
3. (by email) hmitchel@cs.ubc.ca
For the last two options, you still need to send in the cheque or money order by postal mail.
Requests for refunds of registration fees will only be honored through April 25. Refunds are subject to a US $50 processing fee. Bounced cheques are subject to a US $25 processing fee. All no-show registrations will be billed in full. Receipts will be issued at the workshop.
For more registration information, send email to: hmitchel@cs.ubc.ca.
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