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CFP: IEEE Data Mining 2002

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   ICDM '02: The 2002 IEEE International Conference on Data Mining
                Sponsored by the IEEE Computer Society
                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

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
  - 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
  - Quality assessment and interestingness metrics of data mining
  - 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

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

  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: 

Setsuo Ohsuga, Waseda University, Japan

Conference Chairs:

  Ning Zhong, Maebashi Institute of Technology, Japan

  Philip S. Yu, IBM T.J. Watson Research Center, USA

Program Committee Chairs:

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

  Shusaku Tsumoto, Shimane Medical University, Japan
Workshops Chair:

  Einoshin Suzuki, Yokohama National University, Japan

Tutorials Chair:

  Takashi Washio, Osaka University, Japan

Panels Chair:

  Katharina Morik, University of Dortmund, Germany

Industry Track Chair:

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

Publicity Chair:

  Jiming Liu, Hong Kong Baptist University, Hong Kong
Finance Chair:

  Xindong Wu, University of Vermont, USA

Local Arrangements Chair:

  Nobuo Otani, Maebashi Institute of Technology, Japan
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

  Telephone & Fax: +81-27-265-7366
  E-mail: zhong@maebashi-it.ac.jp
Received on Thursday, 18 October 2001 09:41:42 UTC

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