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 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

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 by Springer-Verlag.

ICDM Best Paper Awards will be conferred on the authors of the best papers at the conference.

Important Dates

ICDM '01 Important Dates

This page has been accessed times since June 30, 2000.
Last modified: May 11, 2024.

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:
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      Xindong Wu, University of Vermont, USA
 
Program Committee Chairs:
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      Nick Cercone, University of Waterloo, Canada
      T.Y. Lin, San Jose State University, USA
 
ICDM '01 Workshops Chair:
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      Johannes Gehrke, Cornell University, USA
   
ICDM '01 Tutorials Chair:
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      Chris Clifton, MITRE, USA
   
ICDM '01 Panels Chair:
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      Ramamohanarao Kotagiri, University of Melbourne, Australia
   
ICDM '01 Publicity Chair:
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      Ning Zhong, Maebashi Institute of Technology, Japan
   
ICDM '01 Local Arrangements Chair:
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      Xiaohua (Tony) Hu, Vigilance 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, 
      USA.

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