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                CALL FOR PAPERS
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Third SIAM International Conference on Data Mining (2003)
         Cathedral Hill Hotel, San Francisco, CA,
                     May 1-3, 2003
         URL: http://www.siam.org/meetings/sdm03/
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Advances in information technology and data collection methods have led
to the availability of large data sets in commercial enterprises and in
a wide variety of scientific and engineering disciplines. We have an
unprecedented opportunity to analyze this data and extract intelligent
and useful information from it. The field of data mining draws upon
extensive work in areas such as statistics, machine learning, pattern
recognition, databases, and high performance computing to discover
interesting and previously unknown information in data.

This conference will provide a forum for the presentation of recent
results
in data mining, including applications, algorithms, software, and systems.
 There will be peer reviewed, contributed papers as well as invited talks,
tutorials and a panel. Best paper awards will be given for papers in
different categories. Proceedings of the conference will be available both
online at the SIAM Web site and in hard copy form. In addition, several
workshops on topics of current interest will be held on the final day of
the conference.


TOPICS OF INTEREST:
-------------------

Methods and Algorithms:

        Query/constraint-based data mining
        Probabilistic/statistical methods
        Mining spatial, temporal and heterogeneous data
        Trend and periodicity analysis
        Parallel/distributed/agent techniques
        Scalable algorithms
        Integration: mining, warehousing and OLAP
        Mining of data streams
        Data reduction/pre-processing
        Feature extraction and selection
        Post-processing
        Collaborative filtering/personalization
        Cost-based decision making
        Visual data mining


Applications:

        Intelligence analysis
        Genomics, bioinformatics and biometrics
        Medical and health industry
        Text, video, and multi-media mining
        E-commerce and web data
        Financial data analysis
        Intrusion detection
        Remote sensing and earth sciences
        Astronomy
        Non-destructive evaluation
        Case studies / benchmarks
        Novel applications

Human Factors and Social Issues:

        Languages/user interface for data mining
        Security / privacy of information
        Intellectual ownership
        Risk analysis



STEERING COMMITTEE:
-------------------
V. Kumar, Chair, AHPCRC, University of Minnesota
S. Ashby, Lawrence Livermore National Laboratory
U. Dayal, Hewlett-Packard Laboratories
U. Fayyad, Digimine
R. Grossman, Magnify, Inc. & University of Illinios at Chicago
J. Han, Simon Fraser University
D. Hand, Imperial College, UK
H. Mannila, Nokia Research, Finland
T. Mitchell, Carnegie Mellon University
A. Odlyzko, Digital Technology Center, University of Minnesota
N. Radhakrishnan, Army Research Laboratory
J. Ullman, Stanford University


CONFERENCE CO-CHAIRS:
---------------------
Michael Berry, University of Tennessee
Rajeev Rastogi, Bell Labs, Lucent Technology

PROGRAM CHAIRS:
---------------
Daniel Barbara, George Mason University
Chandrika Kamath, Lawrence Livermore National Laboratory

TUTORIAL CHAIR:
---------------
Joydeep Ghosh, University of Texas

WORKSHOP CHAIR:
---------------
Hillol Kargupta, University of Maryland, Baltimore County

PUBLICITY CHAIR:
----------------
Aleksandar Lazarevic, AHPCRC, University of Minnesota

SPONSORSHIP CHAIR:
------------------
Mohammed Zaki, Rensselaer Polytechnic Institute



IMPORTANT DATES:
----------------

Paper Due Date:                 October  1, 2002
Author Notification:            January  3, 2003
Camera-ready Version Due Date:  January 24, 2003


SUBMISSION GUIDELINES:
----------------------
Submitted papers should not be in consideration by any another
conference with a published proceeding or by a journal. The work
may be either theoretical or applied, but should make a significant
contribution to the field. The papers should have a maximum of 15
pages  (single-spaced, 11 point font, and at least 1 inch margin on
each side) not counting the title page and references, but including
tables and figures. Please use US Letter (8.5 x 11) paper size.
Papers must have a keyword list with no more than 6 keywords and an
abstract with a maximum of 250 words.

Authors are strongly encouraged to submit their papers electronically
in PDF, or PostScript format. For MS Word users, please convert your
document to the PDF format.


Conference Contact:
[EMAIL PROTECTED]


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Conference Co-sponsored by Army High Performance Computing Research
Center and Laboratory for Advanced Computing at the University of
Illinois at Chicago

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