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CFP: IEEE Data Mining 2002 (new)




[Apologies if you receive this more than once]

!!! NOTE: The Conference Date Changed to December 9-12, 2002 !!!

---------------------------------------------------------------------
   ICDM '02: The 2002 IEEE International Conference on Data Mining
             Sponsored by the IEEE Computer Society
---------------------------------------------------------------------
             Maebashi TERRSA, Maebashi City, Japan
                      December 9 - 12, 2002 
           Home Page: http://kis.maebashi-it.ac.jp/icdm02
         Mirror Page: http://www.wi-lab.com/icdm02   

                    CORPORATE SPONSORS: 
                    AdIn Research, Inc.
             The Japan Research Institute, Limited
                 Maebashi Convention Bureau 
                  Maebashi City Government 
                 Gunma Prefecture Government 
               Maebashi Institute of Technology 
                     US AOARD, AROFE

                     Call for Papers
                     ***************

The 2002 IEEE International Conference on Data Mining (IEEE ICDM '02)
provides a leading international forum for the sharing of original
research results and practical development experiences among
researchers and application developers from different data mining
related areas such as machine learning, automated scientific
discovery, statistics, pattern recognition, knowledge acquisition,
soft computing, databases and data warehousing, data visualization,
and knowledge-based systems.  The conference seeks solutions to
challenging problems facing the development of data mining systems,
and shapes future directions of research by promoting high quality,
novel and daring research findings.  As an important part of the
conference, the workshops program will focus on new research
challenges and initiatives.

Topics of Interest
==================

Topics related to the design, analysis and implementation of data
mining theory, systems and applications are of interest.  These
include, but are not limited to the following areas:

  - Foundations and principles of data mining 
  - Data mining algorithms and methods in traditional areas (such as
    classification, clustering, probabilistic modeling, and
    association analysis), and in new areas
  - Data and knowledge representation for data mining 
  - Modeling of structured, textual, temporal, spatial, multimedia and
    Web data to support data mining
  - Complexity, efficiency, and scalability issues in data mining
  - Data pre-processing, data reduction, feature selection and feature
    transformation
  - Statistics and probability in large-scale data mining
  - Soft computing (including neural networks, fuzzy logic,
    evolutionary computation, and rough sets) and uncertainty
    management for data mining
  - Integration of data warehousing, OLAP and data mining 
  - Man-machine interaction in data mining and visual data mining 
  - Artificial intelligence contributions to data mining 
  - High performance and distributed data mining 
  - Machine learning, pattern recognition and automated scientific
    discovery
  - Quality assessment and interestingness metrics of data mining
    results
  - Process centric data mining and models of data mining process 
  - Security and social impact of data mining 
  - Emerging data mining applications, such as electronic commerce,
    bioinformatics, Web intelligence, and intelligent learning database 
    systems

Conference Publications and ICDM Best Paper Awards
==================================================

High quality papers in all data mining areas are solicited.  Papers
exploring new directions will receive a careful and supportive review.

There are two different types of paper submission for IEEE ICDM '02:
(1) main track submissions and (2) industry track submissions.

For the main track submission, all submitted papers should be limited
to a maximum of 6,000 words (approximately 20 A4 pages), and will be
reviewed by the Program Committee on the basis of technical quality,
relevance to data mining, originality, significance, and
clarity. Accepted papers will be published in the conference
proceedings by the IEEE Computer Society Press. All main track paper
submissions will be handled electronically. Please use the Submission
Form (for main track) at the ICDM '02 webpage: 
http://kis.maebashi-it.ac.jp/icdm02 
to submit your paper (the due date is June 5, 2002).

For the industry track submission, please first check the following
conditions before your submission: 

(a) At least one author of each industry track paper should be
from a company (rather than a university), and the paper should be
about industrial or other real-world applications of data mining.
(b) The authors accepted as industry track papers need both oral
presentations and system demos at the conference.

All papers submitted to the Industry Track will be reviewed by the
mini Industry Track Program Committee, and each accepted industry
track paper is allocated 2-4 pages in the conference proceedings by
the IEEE Computer Society Press. All industry track paper submissions
will be handled electronically. Please use the Submission Form (for
industry track) at the ICDM '02 webpage: http://kis.maebashi-it.ac.jp/icdm02 
to submit your paper (the due date is June 5, 2002).

A selected number of IEEE ICDM '02 accepted papers will be expanded
and revised for possible inclusion in the Knowledge and Information
Systems journal (http://www.cs.uvm.edu/~xwu/kais.html) by Springer-Verlag.

IEEE ICDM Best Paper Awards will be conferred on the authors of the
best papers at the conference.

Important Dates
===============

  June 5, 2002           Main track paper submissions 
                         Industry track paper submissions 

  June 30, 2002          Tutorial submissions
                         Panel submissions
                         Workshop proposals

  August 16, 2002        Paper acceptance notices

  September 12, 2002     Final camera-readies

  December 9-12, 2002    Conference

All paper submissions will be handled electronically.  Detailed
instructions are provided on the conference home page at
http://kis.maebashi-it.ac.jp/icdm02 and http://www.wi-lab.com/icdm02

Honorary Chair: 
===============

Setsuo Ohsuga, Waseda University, Japan

Conference Chairs:
==================

  Ning Zhong, Maebashi Institute of Technology, Japan
  (zhong@maebashi-it.ac.jp)

  Philip S. Yu, IBM T.J. Watson Research Center, USA
  (psyu@us.ibm.com)

Program Committee Chairs:
=========================

  Vipin Kumar, University of Minnesota, USA
  (kumar@cs.umn.edu, stewart@arc.umn.edu)

  Shusaku Tsumoto, Shimane Medical University, Japan
  (tsumoto@computer.org)

Industry Track Chairs:
======================

  Koji Sasaki, AdIn Research, Inc., Japan
  (sasaki@adin.co.jp, hosokawa@adin.co.jp)

  Gregory Piatetsky-Shapiro, KDnuggets, USA
  (gps@kdnuggets.com)

Workshops Chair:
================

  Einoshin Suzuki, Yokohama National University, Japan
  (suzuki@slab.dnj.ynu.ac.jp)

Tutorials Chair:
================

  Takashi Washio, Osaka University, Japan
  (washio@ar.sanken.osaka-u.ac.jp)

Panels Chair:
=============

  Katharina Morik, University of Dortmund, Germany
  (morik@ls8.cs.uni-dortmund.de)

Publicity Chair:
================ 

  Jiming Liu, Hong Kong Baptist University, Hong Kong
  (jiming@Comp.HKBU.Edu.HK)
  
Finance Chair:
==============

  Xindong Wu, University of Vermont, USA
  (xindong@computer.org)

Local Arrangements Chair:
========================= 

  Nobuo Otani, Maebashi Institute of Technology, Japan
  (otani@maebashi-it.ac.jp)
  
ICDM Steering Committee
=======================

  Xindong Wu, Chair (University of Vermont, USA)
  Max Bramer, University of Portsmouth, UK
  Nick Cercone, University of Waterloo, Canada
  Ramamohanarao Kotagiri, University of Melbourne, Australia
  Katharina Morik, University of Dortmund, Germany
  Gregory Piatetsky-Shapiro, KDnuggets, USA
  Philip S. Yu, IBM T.J. Watson Research Center, USA
  Ning Zhong, Maebashi Institute of Technology, Japan

Further Information
===================

  Professor Ning Zhong (ICDM '02)
  Department of Information Engineering
  Maebashi Institute of Technology
  460-1, Kamisadori-Cho, Maebashi-City, 371-0816
  Japan

  Telephone & Fax: +81-27-265-7366
  E-mail: zhong@maebashi-it.ac.jp