[UAI] CFP - MDM/KDD - 2002

From: Chabane DJERABA (chabane.djeraba@polytech.univ-nantes.fr)
Date: Wed May 15 2002 - 10:39:42 PDT

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    CALL FOR PAPERS

    MDM/KDD2002 - The Third International Workshop on Multimedia Data Mining

    in conjunction with

    8th ACM SIGKDD International Conference on Knowledge Discovery & Data
    Mining July 23-26, 2002, Edmonton, Alberta, Canada

    Paper submission due 24th May 2002.

    Workshop Website: http://www-staff.it.uts.edu.au/~simeon/mdm_kdd2002/
    Workshop contact: mdm-chairs@cs.ualberta.ca
    Workshop Date: 23 July, 2002

    Workshop chairs:
    Simeon J. Simoff (simeon@it.uts.edu.au) and Chabane Djeraba
    (djeraba@irin.univ-nantes.fr)

    Local chair:
    Osmar R. Zaiane (zaiane@cs.ualberta.ca)

    TOPICS OF INTEREST

    The major topics of the workshop include but are not limited to:

    - theoretical frameworks for multimedia data mining;
    - multimedia data mining methods and algorithms;
    - multimedia data sampling and preprocessing;
    - data sonification and visualization;
    - representation and reuse of discovered knowledge;
    - multimedia data descriptions languages and formats;
    - evaluation of 'interestingness', 'novelty' and validity of results;
    - topic and event detection in multimedia data (including video);
    - extracting semantics from multimedia databases;
    - integrated data mining of text and image data;
    - integrated mining of medical multimedia data;
    - mining scientific multimedia data
    - integrated data mining in multimedia information systems
    - discovering patterns in musical and architectural data
    - knowledge discovery in facial data
    - man-machine interfaces for multimedia data mining;
    - complexity, efficiency and scalability of multimedia data mining
    algorithms;
    - data mining virtual communities and virtual worlds;
    - data mining in collaborative virtual environments and virtual reality
    systems;
    - visual and audio support for multimedia mining;
    - visual data mining of multimedia data;
    - multiagent environments for concurrent mining of heterogeneous data;
    - real-time multimedia data mining systems;
    - mining digital video, audio and other multimedia components.

    We also encourage submissions, which present early stages of research
    work, software applications and solutions.

    ----
    Simeon Simoff & Chabane Djeraba
    



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