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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
November 26 - 29, 2002
Home Page: http://kis.maebashi-it.ac.jp/icdm02
Mirror Page: http://www.wi-lab.com/icdm02
Call for Papers
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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
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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 mining and intelligent learning database systems
Conference Publications and ICDM Best Paper Awards
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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.
All submitted papers should be limited to a maximum of 6,000 words
(approximately 20 A4 pages), and will be reviewed 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. 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://kais.mines.edu/~kais/) by Springer-Verlag.
IEEE ICDM Best Paper Awards will be conferred on the authors of the
best papers at the conference.
Important Dates
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June 5, 2002 Main track paper submissions
Industry track paper submissions
June 30, 2002 Tutorial submissions
Panel submissions
Workshop proposals
August 9, 2002 Paper acceptance notices
September 2, 2002 Final camera-readies
November 26-29, 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:
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Setsuo Ohsuga, Waseda University, Japan
Conference Chairs:
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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:
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Vipin Kumar, University of Minnesota, USA
(kumar@cs.umn.edu, stewart@arc.umn.edu)
Shusaku Tsumoto, Shimane Medical University, Japan
(tsumoto@computer.org)
Workshops Chair:
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Einoshin Suzuki, Yokohama National University, Japan
(suzuki@slab.dnj.ynu.ac.jp)
Tutorials Chair:
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Takashi Washio, Osaka University, Japan
(washio@ar.sanken.osaka-u.ac.jp)
Panels Chair:
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Katharina Morik, University of Dortmund, Germany
(morik@ls8.cs.uni-dortmund.de)
Industry Track Chair:
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Koji Sasaki, AdIn Research, Inc., Japan
(sasaki@adin.co.jp, hosokawa@adin.co.jp)
Publicity Chair:
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Jiming Liu, Hong Kong Baptist University, Hong Kong
(jiming@Comp.HKBU.Edu.HK)
Finance Chair:
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Xindong Wu, University of Vermont, USA
(xindong@computer.org)
Local Arrangements Chair:
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Nobuo Otani, Maebashi Institute of Technology, Japan
(otani@maebashi-it.ac.jp)
ICDM Steering Committee
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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
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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
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