Call for Papers
ICDM '04: The Fourth IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society
Brighton, UK
November 1-4, 2004
http://icdm04.cs.uni-dortmund.de
(Papers Due: June 1, 2004)
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The 2004 IEEE International Conference on Data Mining (IEEE ICDM '04)
provides a leading international forum for the dissemination of
original research results in data mining, spanning applications,
algorithms, software and systems. The conference draws researchers and
application developers from a wide range of data mining related areas
such as statistics, machine learning, pattern recognition, databases
and data warehousing, data visualization, knowledge-based systems and
high performance computing. By promoting high quality and novel
research findings, and innovative solutions to challenging data mining
problems, the conference seeks to continuously advance the state of
the art in data mining. As an important part of the conference, the
workshops program will focus on new research challenges and
initiatives, and the tutorials program will cover emerging data mining
technologies and the latest developments in data mining.
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 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 areas
* Mining text and semi-structured data, and mining temporal, spatial and
multimedia data
* Mining data streams
* Pattern recognition and trend analysis
* Collaborative filtering/personalization
* Data and knowledge representation for data mining
* Query languages and user interfaces for mining
* Complexity, efficiency, and scalability issues in data mining
* Data pre-processing, data reduction, feature selection and feature
transformation
* 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 visual data mining
* High performance and parallel/distributed data mining
* Quality assessment and interestingness metrics of data mining results
* Security, privacy and social impact of data mining
* Data mining applications in bioinformatics, electronic commerce, Web,
intrusion detection, finance, marketing, healthcare, telecommunications
and other fields
Conference Publications and ICDM Best Paper Awards
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High quality papers in all data mining areas are solicited. Original
papers exploring new directions will receive especially careful and
supportive reviews. Papers that have already been accepted or are
currently under review at other conferences or journals will not be
considered for publication at ICDM '04.
Paper submissions should be limited to a maximum of 18 A4 pages, and
will be reviewed by the Program Committee on the basis of technical
quality, relevance to data mining, originality, significance, and
clarity. All paper submissions will be handled electronically. Please
use the Submission Form on the ICDM '04 website to submit your
paper. Formatting instructions are given on the website. Accepted
papers will be published in the conference proceedings by the IEEE
Computer Society Press.
A selected number of IEEE ICDM '04 accepted papers will be invited for
possible inclusion, in an expanded and revised form, in the Knowledge
and Information Systems journal (http://www.cs.uvm.edu/~kais/)
published 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. Application-oriented submissions will be considered for the
best application paper award.
Important Dates
---------------
June 1, 2004 Paper submissions
Tutorial proposals
Workshop proposals
Panel proposals
August 5, 2004 Paper acceptance notices
September 1, 2004 Final camera-readies
November 1, 2004 Tutorials and Workshops
November 2-4, 2004 Conference
All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
http://icdm04.cs.uni-dortmund.de
Conference Chair:
* Max Bramer, University of Portsmouth, UK
([log in to unmask])
Program Committee Chairs:
* Katharina Morik, University of Dortmund (Germany)
([log in to unmask])
* Rajeev Rastogi, Bell Laboratories, Lucent (USA)
([log in to unmask])
Vice Chairs:
* Jean-Francois Boulicaut, University of Lyon (France)
* Johannes Fuernkranz, University of Vienna (Austria)
* Minos Garofalakis, Bell Labs (USA)
* Thomas Hofmann, Brown University (USA)
* HV Jagadish, University of Michigan (USA)
* Eamonn Keogh, University of California, Riverside (USA)
* Xiaohui Liu, Brunel University (UK)
* Ramakrishnan Srikant, IBM Research (USA)
* Jaideep Srivastava, University of Minnesota (USA)
* Einoshin Suzuki, Yokohama National University (Japan)
Industry Chair:
* Rheza Nakhaeizadeh, Daimler Research (Germany)
([log in to unmask])
Panel Chair:
* Fosca Gianotti, University of Pisa (Italy)
([log in to unmask])
Tutorial Chair:
* Kyuseok Shim, Seoul National University (South Korea)
([log in to unmask])
Workshops Chair:
* Stan Matwin, University of Ottawa (Canada)
([log in to unmask])
Publicity Chair/Web Master:
* Ning Zhong, Maebashi Institute of Technology (Japan)
([log in to unmask])
Proceedings Chair:
* Xingdong Wu, University of Vermont (USA)
([log in to unmask])
ICDM Steering Committee
* 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)
* Benjamin W. Wah, University of Illinois, Urbana-Champaign (USA)
* Xindong Wu (Chair), University of Vermont (USA)
* Philip S. Yu, IBM T.J. Watson Research Center (USA)
* Ning Zhong, Maebashi Institute of Technology (Japan)
Further Information
Rajeev Rastogi
Rm 2B-301,
700 Mountain Avenue,
Murray Hill, NJ 07974,
USA
Phone: +1-908-582-3728
Fax: +1-908-582-1239
E-mail: [log in to unmask]
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