CFP: PKDD-2001 Ubiquitous Data Mining Workshop

From: siva (siva@wsu.edu)
Date: Wed Mar 28 2001 - 13:08:53 MET DST

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    CALL FOR PAPERS
    ===============

    Workshop Title:
    Ubiquitous Data Mining for Mobile and Distributed Environments
    http://www.cs.umbc.edu/~hillol/pkdd2001/udm.html

    Venue:
    Joint 12th European Conference on Machine Learning (ECML'01)
    and 5th European Conference on Principles and Practice of Knowledge
    Discovery in Databases (PKDD'01)
    http://www.informatik.uni-freiburg.de/~ml/ecmlpkdd/

    September 3-7, 2001, Freiburg, Germany

    Chairs:

      Hillol Kargupta, University of Maryland Baltimore County, USA
        (410) 455-3972, hillol@cs.umbc.edu.
      Krishnamoorthy Sivakumar, Washington State University, USA
        (509) 335-4969, siva@eecs.wsu.edu.
      Ruediger Wirth, DaimlerChrysler AG, Germany
        +49 731 505 2946, ruediger.wirth@daimlerchrysler.com.

    Program committee:

    Elisa Bertino, University of Milan, Italy
    Bertrand du Castel, Schlumberger, USA
    Pete Edwards, University of Aberdeen, UK
    Joydeep Ghosh, The University of Texas at Austin, USA
    Robert Grossman, University of Illinois at Chicago, USA
    Jochen Hipp, Wilhelm-Schickard-Institute, Germany
    Anupam Joshi, University of Maryland Baltimore County, USA
    Vipin Kumar, University of Minnesota, USA
    Michael May, GMD - German National Research Center for Information
      Technology, Germany
    Sally McClean, University of Ulster, UK
    Erich Neuhold, GMD - German National Research Center for Information
      Technology and University of Darmstadt, Germany
    Andreas L. Prodromidis, Columbia University, USA
    Mehmet Sayal, HP Lab, USA
    Nandit Soparkar, University of Michigan, USA
    Parthasarathy Srinivasan, Ohio State University, USA
    Peter I. Scheuermann, Northwestern University, USA
    Yelena Yesha, University of Maryland Baltimore County, USA

    Scope of the Workshop:

    Knowledge discovery and data mining (KDD) deal with the problem of
    extracting interesting associations, classifiers, clusters, and other
    patterns from data. KDD is playing an increasingly important role
    business, scientific, and engineering applications because of the growing
    availability of data in electronic format. The advent of laptops,
    palmtops, cell phones, and wearable computers is also making ubiquitous
    access to large quantity of data possible. Advanced analysis of data for
    extracting useful knowledge is the next natural step in the world of
    ubiquitous computing.

    This workshop will focus on the state-of-the-art technology for
    ubiquitous data mining (UDM) in mobile and distributed environments.
    Accessing and analyzing data from a ubiquitous computing device offer many
    challenges. For example, the benefits of ubiquitous presence usually do
    not come for free. UDM introduces additional cost due to communication,
    computation, security, and other factors. So one of the objectives of UDM
    is to mine data while minimizing the cost of ubiquitous presence.
    Human-computer interaction is another challenging aspect of UDM.
    Visualizing patterns like, classifiers, clusters, associations and others,
    in portable devices are usually difficult. The small display areas offer
    serious challenges to interactive data mining environments. Data
    management in a mobile environment is also a challenging issue. Moreover,
    the sociological and psychological aspects of the integration between data
    mining technology and our lifestyle are yet to be explored.

    We need to develop the technology to offer the benefits of KDD in a
    ubiquitous fashion in such a way that the cost of ubiquitous presence is
    minimized. This workshop will focus on this emerging technology.

    The topics of interest include, but are not limited to:

    1. Theoretical foundation of UDM.
    2. Methods and algorithms: Advanced algorithms for mobile and distributed
        KDD applications.
    3. Data management issues, mark-up languages, and other data
        representation techniques; integration with database applications for
        mobile environments.
    4. Architectural issues: Architecture, control, security, and
        communication issues.
    5. Specialized mobile devices for UDM.
    6. Experimental systems: Development of experimental systems, performance
        design issues.
    7. Software agents and UDM: Agent based approaches in UDM, Agent
        interaction---cooperation, collaboration, negotiation, organizational
        behavior.
    8. Applications of UDM: Application in business, science, engineering,
        medicine, and other disciplines.
    9. Human-computer interaction: Human-computer interaction in UDM,
        multi-user interaction in UDM.
    10. Location management issues in UDM.
    11. Technology for web-based applications of UDM.

    Important Dates:

    08/06/2001 --- Paper submission deadline
    29/06/2001 --- Paper acceptance notification
    13/07/2001 --- Paper camera-ready deadline
    27/07/2001 --- Workshop proceedings (camera- and Web-ready)

    Paper Submission:

    All papers must be submitted to the following address:

              Krishnamoorthy Sivakumar
               School of Electrical Engineering and Computer Science
               Washington State University
               Pullman, WA 99164-2752
               e-mail: siva@eecs.wsu.edu
               Phone: (509) 335-4969
               Fax: (509) 335-3818

    Electronic submission (postscript or pdf) is highly encouraged.
    Please include the following in your email subject line:
    PKDD-UDM 2001 Submission: <First Author Name>

    For hard-copy submission, please send three (3) copies of the full paper
    to the above address. If you are making a hardcopy submission, please also
    send an email containing the author(s) and title for your submission to
    siva@eecs.wsu.edu.

    Papers should,

       1) be a maximum of 20 pages (A4 or Letter),
       2) have a line spacing of 1.5,
       3) use no smaller than a 12pt font, and
       4) have at least a 1 inch (25 mm) margin on each side

    Publication

    The accepted papers will be published in the workshop proceedings. It will
    be printed by the ECML/PKDD organizers and distributed among registered
    participants of the workshop. In addition, there will be a joint
    Web-publication of all the workshop proceedings after the PKDD-ECML
    conference.

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