KDD-2000 Call for Tutorial Proposals
KDD-2000:
The Sixth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining
August 20-23, 2000, Boston, MA, USA
http://www.acm.org/sigkdd/kdd2000
Call for Proposals
http://www.acm.org/sigs/sigkdd/kdd2000/KDD2000-TutorialsCFP.htm
Tutorial Proposals due: March 6, 2000
KDD-2000 Tutorials Chair: Raymond Ng, University of British
Columbia, (rng@cs.ubc.ca)
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
Soft Copy to: rng@cs.ubc.ca (postscript preferred), or
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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