KDnuggets : News : 2001 : n02 : item32    (previous | next)


From: Tom Fawcett tfawcett@hpl.hp.com
Date: Mon, 8 Jan 2001 15:14:14 -0800
Subject: KDD-2001 Call for Tutorial Proposals
                         Call for Tutorial Proposals
    KDD-2001: The Seventh ACM SIGKDD International Conference on
                     Knowledge Discovery and Data Mining
              August 26-29, 2001, San Francisco, California, USA


Tutorials have become an integral part of KDD conferences.  This is
partly because of the interdisciplinary nature of data mining, but
also because of the amount and speed of progress in the past decade.
Tutorials are an effective way to educate conference attendees in
specific topics and emerging sub-fields.  Traditionally, KDD
conferences have offered high quality tutorials on many aspects of
data mining.

For KDD-2001, we are seeking proposals for 4 to 8 tutorials, each of
1.5 or 3 hours duration.  A tutorial should ideally appeal to more
than one sub-community of data mining, i.e., databases, machine
learning and statistics.  It should both educate conference attendees
about a subfield and provide background necessary to understand
technical advances.  It may discuss novel data mining techniques,
successful applications in data mining, and/or theme-oriented
comprehensive surveys.


Tutorial proposals should be submitted by March 7, 2001.  Proposals
should be submitted electronically to the Tutorials Chair (Tom Fawcett
tom_fawcett@hp.com). Proposals may take the form of plain text,
Postscript, PDF, Microsoft Word, Microsoft Powerpoint, or some
combination of these.  Contact the Tutorials Chair if you wish to
provide non-electronic supporting materials along with your proposal.


Tutorial proposals should address the following issues:

   (a) Basic information: Title, brief description, names and contact
       information for each tutor, the length of the proposed tutorial
       (1.5 or 3 hours).

   (b) Audience: What is the intended audience for the tutorial, e.g.,
       novice users of statistical techniques, expert researchers in
       text mining, or database administrators.

   (c) Interest: Why is this topic important/interesting to the KDD
       community?  Provide some informal evidence that people would
       attend.  Evidence might include related workshops, conference
       sessions, mailing lists, discussions, papers, symposia,
       communities, etc.

   (d) Coverage: How deep/broad is the proposed tutorial?
       How valuable would the tutorial be with the given scope?

   (e) Background: What background will be required of the audience?

Enough materials should be included in the proposal to provide a sense
of the scope and depth of the tutorial.  The more details that can be
provided, the better; up to and including actual overhead slides.

The proposal should also include some biographical information on each
tutor (including WWW address, if applicable).  This information should
describe the qualifications of each presenter with respect to the
tutorial's topic.  For the proposed subject matter the tutor should
have appropriate qualifications.  On the other hand, the tutor should
NOT focus mainly on his or her research results.  A KDD tutorial is
not a 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 this in the proposal.


March   7, 2001: Tutorial proposals due
March  30, 2001: Notification of proposal acceptance
August 26, 2001: KDD-2001 Tutorials held

For further information, please contact Tom Fawcett (tom_fawcett@hp.com).

KDnuggets : News : 2001 : n02 : item32    (previous | next)

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