ACM Special Interest Group on Knowledge Discovery & Data Mining KDD-2000 Tutorials Important Dates March 6, 2000: Tutorial proposals due.

KDD-2000 Sixth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining August 20-23, 2000 Boston, MA, USA Tutorials Tutorials Chair : Raymond Ng, University of British Columbia, (rng@cs.ubc.ca) Call for Proposals Tutorials have become an essential component in many conferences and workshops related to data mining. This is partly because data mining is highly inter-disciplinary in nature. But this is also because tremendous progress in research and development has been made in the past decade. As a tradition, KDD conferences have been offering high quality tutorials on the very many aspects of data mining. For KDD-2000, we are seeking proposals for 4 to 8 tutorials. An ideal tutorial should stimulate synergy among the three different sub-communities in data mining, i.e., databases, machine learning and statistics. It may discuss novel data mining techniques, successful applications in data mining, and/or theme-oriented comprehensive surveys. Submission Details: Deadline: March 6, 2000 Send soft copy to: rng@cs.ubc.ca (postscript preferred), or Send hard copy to: Raymond Ng 2366 Main Mall, UBC, Vancouver, B. C. Canada V6T 1Z4 Proposal Details: 1. Apart from the title of the proposal, it must clearly identify the intended audience, e.g., novice learners on statistical techniques, expert researchers on classification. An ideal tutorial should have an intended audience broader than a single sub-community. 2. The proposal must identify the amount of time intended. For KDD-2000, tutorials may be 2-hour, 3-hour or 4-hour long. 3. Enough materials should be included in the proposal to provide a sense of both the scope and depth of the tutorial. (In fact, the more detailed, the better.) In the proposal, it may specify the material to be covered for a 2-hour, 3-hour and/or 4-hour period. 4. The proposal should include a short biography of each tutor (including Web address). For the proposed subject matter, on the one hand, the tutor must have appropriate qualification. On the other hand, the tutor must NOT focus mainly on his/her research results. KDD tutorials are not the forum for promoting one's research or product. If for certain parts of the tutorial, the material comes directly from the tutor's own research or product, please indicate that in the proposal. For further information, please contact Raymond Ng (rng@cs.ubc.ca).

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