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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
December 9 - 12, 2002
Home Page: http://kis.maebashi-it.ac.jp/icdm02
Mirror Page: http://www.wi-lab.com/icdm02
INVITED SPEAKERS:
Jaime Carbonell (Carnegie Mellon University, USA)
Satoru Miyano (University of Tokyo, Japan)
Hiroshi Motoda (Osaka University, Japan)
Stephen Muggleton (Imperial College, UK)
Jeffrey D. Ullman (Stanford University, USA)
CORPORATE SPONSORS:
AdIn Research, Inc.
The Japan Research Institute, Limited
Maebashi Convention Bureau
Maebashi City Government
Gunma Prefecture Government
Maebashi Institute of Technology
Support Center for Advanced Telecom. Tech. Research
US AFOSR/AOARD, AROFE
In Cooperation with Japanese Society for Artificial Intelligence
Final Call for Papers
*********************
**********************************************************************
- Papers due: June 5, 2002
- Submission website: http://kis.maebashi-it.ac.jp/icdm02
http://www.wi-lab.com/icdm02
- Electronic submissions are required in the form of PDF or
postscript files.
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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 whose papers accepted for industry track would
also be requested to show a demo of the system, if feasible.
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
([EMAIL PROTECTED])
Philip S. Yu, IBM T.J. Watson Research Center, USA
([EMAIL PROTECTED])
Program Committee Chairs:
=========================
Vipin Kumar, University of Minnesota, USA
([EMAIL PROTECTED], [EMAIL PROTECTED])
Shusaku Tsumoto, Shimane Medical University, Japan
([EMAIL PROTECTED])
Industry Track Chairs:
======================
Koji Sasaki, AdIn Research, Inc., Japan
([EMAIL PROTECTED], [EMAIL PROTECTED])
Gregory Piatetsky-Shapiro, KDnuggets, USA
([EMAIL PROTECTED])
Workshops Chair:
================
Einoshin Suzuki, Yokohama National University, Japan
([EMAIL PROTECTED])
Tutorials Chair:
================
Takashi Washio, Osaka University, Japan
([EMAIL PROTECTED])
Panels Chair:
=============
Katharina Morik, University of Dortmund, Germany
([EMAIL PROTECTED])
Publicity Chair:
================
Jiming Liu, Hong Kong Baptist University, Hong Kong
([EMAIL PROTECTED])
Finance Chair:
==============
Xindong Wu, University of Vermont, USA
([EMAIL PROTECTED])
Local Arrangements Chair:
=========================
Nobuo Otani, Maebashi Institute of Technology, Japan
([EMAIL PROTECTED])
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
Benjamin W. Wah, University of Illinois, Urbana-Champaign, 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: [EMAIL PROTECTED]
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