ICDM'02 tutorials Call for Participation

icdm02 at kis.maebashi-it.ac.jp icdm02 at kis.maebashi-it.ac.jp
Thu Sep 12 00:25:32 EST 2002


 [Apologies if you receive this more than once]

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              ICDM'02 tutorials Call for Participation

    ICDM '02: The 2002 IEEE International Conference on Data Mining
              Sponsored by the IEEE Computer Society
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              Maebashi TERRSA, Maebashi City, Japan

               Tutorials Date: December, 9, 2002
              Conference Date: December 9-12, 2002

           Home Page: http://kis.maebashi-it.ac.jp/icdm02
         Mirror Page: http://www.wi-lab.com/icdm02

                     CORPORATE SPONSORS:
                  Maebashi Convention Bureau
                   Maebashi City Government
                  Gunma Prefecture Government
                Maebashi Institute of Technology
                     AdIn Research, Inc.
              The Japan Research Institute, Limited
                    System Alpha, Inc., Japan
                       GCC Inc., Japan
                       SPSS Japan Inc.
                    The SAS Institute, Japan
                       KANKODO, Japan
                       Fressay, Japan
      Support Center for Advanced Telecom. Tech. Research
                     US AFOSR/AOARD, AROFE

   In Cooperation with Japanese Society for Artificial Intelligence

            **************************************** 
            Advance Registration by 10 November 2002
            ----------------------------------------
            Please use the on-line registration form 
            at the conference homepage. 
            ****************************************

The 2002 IEEE International Conference  on  Data Mining (ICDM '02)  will
include 6 tutorials  providing in-depth background  on specific subjects
in data mining.  The recency of the data mining field,  and  the variety
of disciplines  that are represented,  lead to  many  possibilities  for
good tutorials. The followings  are  the topics  and the speakers of the
tutorials.

Room 1
======

TA1  8:45-11:45
Powerful Database Primitives to Support High Performance Data Mining
Christian Bohm
University for Health Informatics and Technology, Innsbruck, Austria

TA2  12:45-15:45
Relational Data Mining
Saso Dzeroski
Jozef Stefan Institute, Jamova39, 1000 Ljubljana, Slovenia

TA3  16:00-19:00
Avoiding Common Causes of Data Mining Project Failure
Monte F. Hancock, Jr.
CSI Corporation, 1235 Evans Road, Melbourne, Florida 32904, USA

Room 2
======

TB1  8:45-11:45
An Introduction to Knowledge Discovery in Medical Databases
John H. Holmes
Center for Clinical Epidemiology and Biostatistics, University of 
Pennsylvania School of Medicine, Philadelphia, PA 19104-4385, USA

TB2  12:45-15:45
Data Mining in Bioinformatics
Gautam Singh
Computer Science & Engineering Department,
Oakland University, Rochester, MI 48309, USA

TB3  16:00-19:00
Rough Set Data Analysis - A road to non-invasive knowledge discovery
Ivo Duntsch 1), Gunther Gediga 2)
1) Department of Computer Science, Brock University, St.Catherines,
   Ontario, Canada,L2S3AI
2) Institut fur Evaluation und Marktanalysen, 
   Brinkstr. 19, 49143 Jeggen, Germany


The main scopes  of ICDM'02 tutorials  are  along  the following lines,
and the above tutorials certainly address these scopes.

    * End-to-end  descriptions  of the  practical  application of  data
      mining technology (i.e., applications that may be "typical" for a
      paper, but  provide an example of  issues faced in  a data mining
      project that would generalize to problems faced by the conference
      attendees)  in  emerging  data mining  application areas  such as
      bioinformatics and  medical applications, and etc.
    * Surveys   of  new   and   developing  research   areas  in   data
      mining (e.g.,  areas  of  structured, textual, temporal, spatial,
      multimedia,  Web, distributed, scientific  data mining, data pre-
      processing,  data reduction,  data sampling,  feature  selection,
      feature  transformation,  man-machine interaction  in data mining
      and visual data mining).
    * Short  courses  on  areas  of  machine  learning,  databases,  or
      statistics  that  may  be   "old  hat"  to  specialists  in  that
      discipline,  but  are  new   to  a  majority  of  the  conference
      attendees. (e.g., an introduction to Hidden Markov Models).
    * An in-depth coverage of a past research breakthrough  that is now
      becoming a mature technology.

The details of the tutorials can be seen in the ICDM 2002 web pages at
http://kis.maebashi-it.ac.jp/icdm02 
http://www.wi-lab.com/icdm02.

ICDM'02 Tutorials Chair
Prof. Takashi Washio
I.S.I.R., Osaka University
8-1, Mihogaoka, Ibaraki City,
Osaka, 567-0047, JAPAN
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