Logic List Mailing Archive
FOM: IEEE Data Mining 2001: Call for Papers (fwd)
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ICDM '01: The 2001 IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society
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Doubletree Hotel, San Jose, California, USA
November 29 - December 2, 2001
Home Page: http://kais.mines.edu/~xwu/icdm/icdm-01.html
INVITED SPEAKERS:
Jerome H. Friedman, Stanford University, USA
Jim Gray (The 1999 Turing Award Winner), Microsoft Research, USA
Pat Langley, Daimler-Benz Research & Technology Center, USA
Benjamin W. Wah (IEEE Computer Society President), UIUC, USA
CORPORATE SPONSORS:
Blue Martini Software, San Mateo, California;
Insightful Corporation, Seattle, Washington;
NARAX Inc., Golden, Colorado;
Springer-Verlag, New York, New York;
StatSoft Inc., Tulsa, Oklahoma
Call for Papers
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The 2001 IEEE International Conference on Data Mining (ICDM '01)
provides a 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,
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. 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 ICDM '01 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.
ICDM Best Paper Awards will be conferred on the authors of the best
papers at the conference.
Important Dates
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June 15, 2001 Paper submissions.
July 31, 2001 Acceptance notices.
August 31, 2001 Final camera-readies.
Nov 29 - Dec 2, 2001 Conference.
All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
http://kais.mines.edu/~xwu/icdm/icdm-01.html.
Conference Chair:
=================
Xindong Wu, Colorado School of Mines, USA
(xindong@computer.org)
Program Committee Chairs:
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Nick Cercone, University of Waterloo, Canada
(ncercone@math.uwaterloo.ca)
T.Y. Lin, San Jose State University, USA
(tylin@mathcs.sjsu.edu)
ICDM '01 Workshops Chair:
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Johannes Gehrke, Cornell University, USA
(johannes@cs.cornell.edu)
ICDM '01 Tutorials Chair:
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Chris Clifton, MITRE, USA
(clifton@mitre.org)
ICDM '01 Panels Chair:
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Ramamohanarao Kotagiri, University of Melbourne, Australia
(rao@cs.mu.oz.au)
ICDM '01 Publicity Chair:
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Ning Zhong, Maebashi Institute of Technology, Japan
(zhong@maebashi-it.ac.jp)
ICDM '01 Local Arrangements Chair:
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Xiaohua (Tony) Hu, Blue Martini Software Inc., USA
(tonyhu@bluemartini.com)
ICDM Steering Committee
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Max Bramer, University of Portsmouth, UK
Nick Cercone, University of Waterloo, Canada
Ramamohanarao Kotagiri, University of Melbourne, Australia
Katharina Morik, University of Dortmund, Germany
Xindong Wu, Chair (Colorado School of Mines, USA)
Philip S. Yu, IBM T.J. Watson Research Center, USA
Ning Zhong, Maebashi Institute of Technology, Japan
Jan M. Zytkow, University of North Carolina, Charlotte, USA
Further Information
===================
Dr. Xindong Wu
Dept. of Mathematical and Computer Sciences,
Colorado School of Mines,
1500 Illinois Street,
Golden, Colorado 80401,
USA.
Telephone: +1-303-273-3874
Facsimile: +1-303-273-3875
E-mail: xindong@computer.org