[DM] KDD-2000 Call for Tutorial Proposals

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Posted by William Hsu (Director) on March 05, 2000 at 11:36:36:

[FYI; watch for interesting tutorials that come out of this --- WHH]

From: Paul Bradley
Date: Saturday, January 15, 2000 8:06 PM
To: datamine-l@nautilus-sys.com

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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Comments:
: [FYI; watch for interesting tutorials that come out of this --- WHH] : From: Paul Bradley <bradley@microsoft.com> : Date: Saturday, January 15, 2000 8:06 PM : To: datamine-l@nautilus-sys.com <datamine-l@nautilus-sys.com> : 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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