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Next Deadline: Camera Ready Copy Due,
July 15, 2000

Accepted Papers
Camera Ready Copy Guidelines

Workshop Co-Chairs:

  • Simeon J. Simoff (
    University of Sydney, Australia
  • Osmar R. Zaïane (
    University of Alberta, Canada

    Program Committee:

  • Max Bramer
    University of Portsmouth, UK
  • Alex Duffy
    University of Strathclyde, UK
  • Max J. Egenhofer
    University of Maine, USA
  • Tom Gedeon
    Murdoch University, Australia
  • William Grosky
    Wayne State University, USA
  • Howard J. Hamilton
    University of Regina, Canada
  • Jiawei Han
    Simon Fraser University, Canada
  • Odej Kao
    Technical University of Clausthal, Germany
  • Nik Kasabov
    University of Ottago, New Zealand
  • Raymond Ng
    University of British Columbia, Canada
  • Timothy K. Shih
    Tamkang University, Taiwan
  • Jaideep Srivastava
    University of Minnesota, USA

    Peer-reviewed submissions, accepted for presentation at the workshop will be published in the workshop proceedings.
    Extended and revised paper-oriented versions of selected submissions will be published in a book by Kluwer Academic Publishers, the same publisher of the Data Mining and Knowledge Discovery journal.


    Workshop on Multimedia Data Mining

    in conjunction with

    Sixth ACM SIGKDD International Conference on
    Knowledge Discovery & Data Mining
    August 20-23, 2000
    Boston, MA, USA

    Call for Participation: You are invited to participate at the Workshop. Participation is open, but all those who want to participate should send an e-mail message to the organizers ( or zaiane AT to show their interest to do so. Registration for the workshop is included with the SIGKDD conference registration. There will be a fee ($10-$15) for the workshop notes which will be collected on site. The capacity for the workshop is limited to 80 participants.
    The Preliminary Workshop Program will be posted soon. (Accepted Papers)

    The increasing application of collaborative computing and multimedia document handling in the majority of government, business and educational intra- and internets provides enormous sources of various data, organised in different structures and formats. No wonder researchers in multimedia turned towards the field of data mining and knowledge discovery in databases in the search for techniques for improving the indexing and retrieval of multimedia information. In the beginning, a variety of techniques from machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, image analysis, high performance computing, and knowledge-based systems, have been used mainly as a research handcraft activity. The development of multimedia databases and their query interfaces recall again the idea of incorporating data mining methods for dynamic indexing. Recently data mining efforts have focused in less formalised fields of art, design, hypermedia information systems, case-based reasoning and computational modeling of creativity. These and similar fields use variety of data sources, incorporated through sophisticated digital media data structures. As a result there is an urgent need for new techniques and tools that can transform these rich data into useful information and knowledge.

    The aim of this workshop is to bring together experts in analysis of digital media content, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from different applied disciplines with potential in multimedia data mining. The major topics of the workshop include but are not limited to:

    • multimedia data mining methods and algorithms;
    • electronic documents - multimedia data representation and reuse of discovered knowledge;
    • content-based search, retrieval, and discovery methods;
    • uncertainty management in multimedia data mining;
    • complexity, efficiency and scalability of multimedia data mining algorithms;
    • the incorporation of domain knowledge;
    • multimedia data mining and interactive exploration;
    • mining and analysis of data generated by virtual reality systems
    • data mining of virtual worlds
    • multimedia data visualization and man-machine interfaces;
    • integrated data mining of text and image data;
    • data analysis of video and audio data;
    • representation of discovered knowledge
    • active storage for data mining in multimedia.
    • mining from unstructured and semi-structured data
    • web-content mining
    • data mining from XML documents
    • mining from GIS
    Submissions on the above and related topics of knowledge discovery in digital media are invited. We also encourage submissions, which present early stages of research work, software applications and solutions.
    There is no restriction on the length of submissions. Contact author and email address should be specified.

    Printable Call for Papers (PDF)
    Accepted Papers

    Important Dates

    May 15: Submissions Due
    June 15: Acceptance Notification
    July 15:Camera Ready Copy Due
    August 20: Workshop Day

    Electronic Submission

    Electronic submission either in paper-oriented PDF, PS, RTF or Microsoft Word Document formats, or in Web-based multimedia format are preferable.

    Please, e-mail electronic submissions with subject "MDM/KDD2000" to:
    zaiane AT

    Hard Copy Submission

    Send hardcopies to:
    Simeon J. Simoff
    Key Centre of Design Computing and Cognition (G04)
    University of Sydney, NSW 2006


    Osmar R. Zaïane
    Department of Computing Science
    University of Alberta
    Edmonton, AB
    T6G 2H1, Canada

    Maintained by: Osmar R. Zaïane <zaiane AT>
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