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June 2003


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Xindong Wu <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Tue, 3 Jun 2003 22:43:47 -0400
text/plain (239 lines)
ICDM '03: The Third IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society

Melbourne, Florida, USA
November 19 - 22, 2003

Call for Papers
(Papers Due: June 10, 2003)

Invited Speakers

 - Thomas G. Dietterich, Oregon State University, USA
 - Usama M. Fayyad, digiMine, Inc., USA
 - Heikki Mannila, University of Helsinki, Finland
 - Gene W. Myers, University of California, Berkeley, USA
 - Philip S. Yu, IBM T.J. Watson Research Center, USA

The 2003 IEEE International Conference on Data Mining (IEEE ICDM '03)
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, and the tutorial program will cover
emerging data mining technologies and the state-of-the-art of data
mining developments.

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 of data mining
  - Data mining and machine learning algorithms and methods in
    traditional areas (such as classification, regression, clustering,
    probabilistic modeling, and association analysis), and in new
  - Mining text and semi-structured data, and mining temporal, spatial
    and multimedia data
  - Data and knowledge representation for data mining
  - Complexity, efficiency, and scalability issues in data mining
  - Data pre-processing, data reduction, feature selection and feature
  - Post-processing of data mining results
  - 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
  - Human-machine interaction and visualization in data mining, and
    visual data mining
  - High performance and distributed data mining
  - Pattern recognition and scientific discovery
  - Quality assessment and interestingness metrics of data mining
  - Process-centric data mining and models of data mining process
  - Security, privacy and social impact of data mining
  - Data mining applications in electronic commerce, bioinformatics,
    computer security, Web intelligence, intelligent learning database
    systems, finance, marketing, healthcare, telecommunications, and
    other fields

Conference Publications and ICDM Best Paper Awards

High quality papers in all data mining areas are solicited.  Papers
exploring new directions will receive especially careful and
supportive reviews.

There are two types of paper submissions for IEEE ICDM '03: (1)
research-track submissions and (2) industry-track submissions. All paper
submissions will be handled electronically. Please use the Submission
Form at the ICDM '03 webpage to submit your paper.

For research-track submissions, papers should be limited to a maximum
of 6,000 words (approximately 20 A4 pages), and will be reviewed by
the Program Committee 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.

For industry-track submissions, please make sure that the following
conditions are met: (a) Papers cannot exceed 3,000 words, (b) At least
one author of each industry-track paper should be from an industrial
company, and the paper should be about industrial or other real-world
applications of data mining, AND (c) a description of how the
application has been conceived, developed and deployed must be
provided.  (Papers that present interesting data mining applications
but do not qualify as industry-track submissions according to the
these criteria can be submitted to the research track.)  The
conference will provide an opportunity for the authors of accepted
industry-track papers to showcase their efforts in front of the
world's finest data miners via a software demonstration.

All papers submitted to the industry track will also be reviewed by
the Program Committee, and each accepted industry-track paper will be
allocated 4 pages in the conference proceedings by the IEEE Computer
Society Press.

A selected number of IEEE ICDM '03 accepted papers will be invited for
possible inclusion, in an expanded and revised form, in the Knowledge
and Information Systems journal (
by Springer-Verlag.

IEEE ICDM Best Paper Awards will be conferred at the conference on the
authors of (1) the best research paper and (2) the best application
paper.  Papers from the industry track and application-oriented papers
from the research track will both be considered for the best
application award.

Important Dates

  June 10, 2003          Research-track paper submissions
                         Industry-track paper submissions
                         Tutorial proposals
  June 30, 2003          Panel proposals due
  August 15, 2003        Paper acceptance notices
  September 10, 2003     Final camera-readies
  November 19, 2003      Workshops
  November 20-22, 2003   Conference

All paper submissions will be handled electronically.  Detailed
instructions are provided on the conference home page at

Conference Chair:

  Jude Shavlik, University of Wisconsin - Madison
  ([log in to unmask])

Program Committee Chairs:

  Xindong Wu, University of Vermont
  ([log in to unmask])

  Alex Tuzhilin, New York University
  ([log in to unmask])

Vice Chairs:

  Christopher W. Clifton, Purdue University, USA
  Douglas H. Fisher, Vanderbilt University, USA
  Paolo Frasconi, UniversitÓ di Firenze, Italy
  Dunja Mladenic, J. Stefan Institute, Slovenia
  Raghu Ramakrishnan, University of Wisconsin - Madison, USA
  Rajeev Rastogi, Lucent, USA
  Michele Sebag, Universite Paris-Sud, France
  Dale Schuurmans, University of Waterloo, Canada
  Jaideep Srivastava, University of Minnesota, USA
  Mohammed Zaki, Rensselaer Polytechnic Institute, USA

Industry Track Chair:

  Roberto Bayardo, IBM Almaden Research Center, USA
  ([log in to unmask])

Panels Chair:

  Nick Cercone, Dalhousie University
  ([log in to unmask])

Workshops Chair:

  David Page, University of Wisconsin - Madison
  ([log in to unmask])

Tutorials Chair:

  Martin Ester, Simon Fraser University
  ([log in to unmask])

Publicity Chair:

  Balaji Padmanabhan, University of Pennsylvania
  ([log in to unmask])

Local Arrangements Chair:

  Philip Chan, Florida Institute of Technology
  ([log in to unmask])

Web Master:

  Ning Zhong, Maebashi Institute of Technology
  ([log in to unmask])

ICDM Steering Committee

  Xindong Wu (Chair), University of Vermont, USA
  Max Bramer, University of Portsmouth, UK
  Nick Cercone, Dalhousie University, Canada
  Ramamohanarao Kotagiri, University of Melbourne, Australia
  Vipin Kumar, University of Minnesota, USA
  Katharina Morik, University of Dortmund, Germany
  Gregory Piatetsky-Shapiro, KDnuggets, USA
  Philip S. Yu, IBM T.J. Watson Research Center, USA
  Benjamin W. Wah, University of Illinois, Urbana-Champaign, USA
  Ning Zhong, Maebashi Institute of Technology, Japan

Further Information

  Professor Xindong Wu (ICDM 2003)
  Department of Computer Science,
  University of Vermont,
  351 Votey Building,
  Burlington, VT 05405,

  Phone: +1-802-656-7839
  Fax: +1-802-656-0696
  E-mail: [log in to unmask]