[UAI] CFP Deadline: 1st SIAM Int'l Conference on Data Mining

From: Mohammed Zaki (zaki@badr.cs.rpi.edu)
Date: Wed Oct 11 2000 - 09:26:28 PDT

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    First SIAM International Conference on Data Mining
      April 5-7, 2001, Midland Hotel, Chicago, USA
          http://www.siam.org/meetings/sdm01/

    IMPORTANT DATES:
    Abstracts Submission: October 20, 2000
    Full Paper Submission: October 27, 2000
    Author Notification: January 15, 2001
    Final Version of Papers Due: February 5, 2001

    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.
    Examples of such large data sets in the scientific domain are genomic
    data (Biology), climate data (Earth Sciences), sky survey data
    (Astronomy), and computational simulations that run on high
    performance computers. In the commercial domain, the use of bar codes
    in commercial outlets, the computerization of business transactions,
    and the explosion of e-businesses are also providing a flood of data.

    We have an unprecedented opportunity to analyze this data and extract
    intelligent and useful information. 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 sets.

    This conference will provide a forum for the presentation of recent
    results in data mining, including applications, algorithms, software,
    and systems. The conference will feature peer reviewed, contributed
    papers as well as invited talks, tutorials and workshops. Proceedings of the
    conference will be available on CD-ROM as well as online.

    Several workshops will be held on Saturday, April 7 on topics of
    current interest. These workshops will allow the presentation and
    discussion of recent results. The workshops planned include:
      - Mining Scientific Data Sets
      - Data Mining for Genomic Data
      - Data Mining for E-commerce
      - Web Mining

    See the conference webpage for topics of interest, submission
    procedures, and other relevant details.

    CONFERENCE CO-CHAIRS:
    Robert Grossman, Magnify, Inc. and Univ. of Illinois at Chicago, USA
    Jiawei Han, Simon Fraser University, Canada
    Vipin Kumar, AHPCRC - University of Minnesota, Minneapolis, USA

    PUBLICITY CHAIR:
    Mohammed J. Zaki, Rensselaer Polytechnic Institute, USA



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