8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery

13th June 2003, San Diego, California
in conjunction with
ACM SIGMOD International Conference on Management of Data, 2003
sponsored by

Workshop Scope & Objectives

This is the 8th workshop on DMKD held annually in conjunction with ACM SIGMOD conference. The workshop aims to bring together data-mining researchers and experienced practitioners with the goal of discussing the next generation of data-mining tools. Rather than following a "mini-conference" format focusing on the presentation of polished research results, the DMKD workshop will foster an informal atmosphere, where researchers and practitioners can freely interact through short presentations and open discussions on their ongoing work as well as forward-looking research visions/experiences for future data-mining applications.

In addition to research on novel data-mining algorithms and experiences with innovative mining systems and applications, of particular interest in this year's DMKD workshop is the broad theme of "Future Trends in Data Mining." Topics of interest include (but are certainly not limited to):

  • Privacy & Security issues in Mining: Privacy preserving data mining techniques are invalvuable in cases where one may not look at the detiled data, but one is allowed to infer high level information. This also has relevance for the use of mining for national security applications.

  • Mining Data Streams: In many emerging applications data arrives and needs to be processed on a continuous basis, i.e., there is need for mining without the benefit of several passes over a static, persistent snapshot.

  • Data Mining in Bioinformatics and Biological Database Systems: High-performance data mining tools will play a crucial role in the analysis of the ever-growing databases of bio-sequences/structures.

  • Semi/Un-Structured Mining for the World Wide Web: The vast amounts of information with little or no structure on the web raise a host challenging mining problems such as web resource discovery and topic distillation; web structure/linkage mining; intelligent web searching and crawling; personalization of web content.

  • Future Trends/Past Reflections: What are the emerging topics/applications for next generation data mining? What lessons have been learned from over a decade of data mining? What areas need more attention?

Submission Guidelines

Submitted papers should not exceed 10 pages, single-spaced, single column, 12 point font, incuding all figures, tables, and references. The workshop accepts only electronic submission of papers in PDF, or PostScript format via the paper submission site: http://msrcmt.research.microsoft.com/DMKD03/. Accepted papers will be included in informal workshop proceedings, as well as online on this page.

Important Dates

Submission deadline: April 4, 2003
Notification: May 2, 2003
Camera-ready due: May 16, 2003
Workshop: June 13, 2003

Workshop Chairs

  • Mohammed J. Zaki, Rensselaer Polytechnic Institute (zaki.AT.cs.rpi.edu)
  • Charu Aggarwal, IBM T.J. Watson Research Center (charu.AT.us.ibm.com)

    Program Committee

  • Roberto Bayardo, IBM Almaden Research Center
  • Alok Choudhary, Northwestern University
  • Gautam Das, Microsoft Research
  • Venkatesh Ganti, Microsoft Research
  • Minos N. Garofalakis, Bell Labs
  • Dimitrios Gunopulos, University of California, Riverside
  • Jiawei Han, University of Illinois at Urbana-Champaign
  • Eamonn Keogh, University of Califirnia, Riverside
  • Nick Koudas, AT&T Research
  • Vipin Kumar, University of Minnesota
  • Bing Liu, University of Illinois at Chicago
  • Rosa Meo, University of Torino, Italy
  • Raymond Ng, University of British Columbia, Canada
  • Srini Parthasarathy, Ohio State University
  • Rajeev Rastogi, Bell Labs
  • Kyuseok Shim, Seoul National University
  • Hannu Toivonen, University of Helsinki
  • Philip S. Yu, IBM T.J. Watson Research Center
  • Maintained by: Mohammed J. Zaki <zaki.AT.cs.rpi.edu>
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