Logic List Mailing Archive

FOM: IEEE Data Mining 2001: Call for Papers (fwd)


   ICDM '01: The 2001 IEEE International Conference on Data Mining
                Sponsored by the IEEE Computer Society

             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

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

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,
    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.  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

     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

Conference Chair:

      Xindong Wu, Colorado School of Mines, USA
Program Committee Chairs:

      Nick Cercone,  University of Waterloo, Canada
      T.Y. Lin, San Jose State University, USA
ICDM '01 Workshops Chair:

      Johannes Gehrke, Cornell University, USA

ICDM '01 Tutorials Chair:

      Chris Clifton, MITRE, USA

ICDM '01 Panels Chair:

      Ramamohanarao Kotagiri, University of Melbourne, Australia

ICDM '01 Publicity Chair:

      Ning Zhong, Maebashi Institute of Technology, Japan
ICDM '01 Local Arrangements Chair:

      Xiaohua (Tony) Hu, Blue Martini Software Inc., USA

ICDM Steering Committee

      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, 

      Telephone: +1-303-273-3874
      Facsimile: +1-303-273-3875
      E-mail: xindong@computer.org