PAKDD: Knowledge Discovery in Multimedia and Complex Data

From: Osmar Zaiane (zaiane@cs.ualberta.ca)
Date: Fri Feb 08 2002 - 15:08:24 PST

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    CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS
    CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS
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    Apologies for double postings.

                            International Workshop on
                 Knowledge Discovery in Multimedia and Complex Data
                                   (KDMCD'02)
                           Taipei, Taiwan, May 6, 2002
                        http://db.cs.ualberta.ca/kdmcd02/

     In conjunction with the Sixth Pacific-Asia Conference on Knowledge
     Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8 2002
     http://arbor.ee.ntu.edu.tw/pakdd02/

    OBJECTIVES
    Multimedia Data Mining, also known as Knowledge Discovery from
    Multimedia, is not Information Retrieval from multimedia, contrary to
    popular belief, but the extraction of interesting patterns and new
    facts from multimedia objects. Knowledge discovery in multimedia
    databases is focused on the synergy between two fields: Knowledge
    Discovery and Multimedia Databases. Knowledge discovery and data
    mining, which consist in extracting valuable and relevant knowledge
    from large volumes of data, have received much attention these last
    years. The approaches used for knowledge discovery are non-trivial and
    often domain specific, depending on the canonical mining
    primitives. The data patterns discovered are typically used in
    decision-making whether in business, in scientific research or
    other. While significant research has been done on knowledge discovery
    from large corpora, most of the approaches are related to numerical
    transactional data such as market-basket analysis, web activities,
    etc., thus very little has been achieved on mining multimedia data
    probably due to the complexity of multimedia and multimedia
    repositories.
    The aim of this workshop is to bring together experts in digital media
    c ontent analysis, state-of-art data mining and knowledge discovery in
    multimedia database systems, knowledge engineers and domain experts
    from diverse applied disciplines with potential in multimedia data
    mining.

    TOPICS OF INTEREST
    The major topics of the workshop include but are not limited to:
     - Multimedia specific data mining methods and algorithms,
     - Complexity, efficiency and scalability of multimedia data mining algorithms,
     - Multimedia data mining and interactive exploration,
     - Data and Knowledge visualization,
     - Mining and analysis of data generated by virtual reality systems,
     - Integrated data mining of text and image data,
     - Discovery in musical data,
     - Methods for the evaluation of mining results,
     - Knowledge Discovery in other complex data (Spatial, VRML, XML, etc.),
     - Data description languages, meta data, data formats,
     - Representation of discovered knowledge for data mining in multimedia,
     - Multimedia data representation and reuse of discovered knowledge,
     - Techniques for web multimedia preparation, including cleaning,
     - Transforming, sampling,
     - Multimedia mining methodologies for different web data types,
     - Web-content mining,
     - Internet portal and multimedia mining,
     - Multimedia applications of knowledge discovery,
     - Intelligent electronic documents, - Content-based discovery methods.
    We also encourage submissions, which present early stages of research
    work, software applications and solutions.

    INSTRUCTIONS FOR AUTHORS
    Authors are invited to submit papers (not exceeding 8 pages) by
    February 15, 2002. Selection will be based on originality and
    contribution to the field. Manuscripts must be in English, typed in
    single spaced format in no smaller than 10 point font. Each paper
    should have an extra cover page with name, title, and address
    (including e-mail address) of the contact author and an abstract of no
    more than 200 words. Papers in postscript or PDF or RTF format should
    be sent to: kdmcd-chairs@cs.ualberta.ca with subject "KDMCD2002".
    All papers will be reviewed by at least three referees for technical
    merit and content. Papers accepted for presentation will appear in the
    workshop proceedings, which will be available to delegates at the
    conference site. The best papers may be selected, and their authors
    asked to prepare an extended version for book chapters edited by an
    international editor.

    IMPORTANT DATES
    Paper submission: February 15, 2002
    Notification: March 1, 2002
    Camera-ready: March 15, 2002

    WORKSHOP CHAIRS
     Chabane Djeraba, IRIN, Polytech Nantes, France
     Osmar R. Zaiane, University of Alberta, Canada

    PROGRAM COMMITTEE

     Frederic Andres, NII, Japan
     Bruno Bachimont, INA, France
     Nadia Bianchi-Berthouze, University of Aizu, Japan
     Nozha Boujemaa, INRIA, France
     Liming Chen, ICTT-ECL, France
     Claude Chrisment, University of Toulouse, France
     William Grosky, Michigan Dearborn University, USA
     Mohand-Said Hacid, LISI, France
     Alexander G. Hauptmann, Carnegie Mellon University, USA
     Nabil Layaida, INRIA Rhene Alpe, Grenoble
     Mario Nascimento, University of Alberta, Canada
     Jian Pei, Simon Fraser University, Canada
     Jean-Marie Pinon, LISI-INSA, France
     Zbigniew Rass, UNC Charlotte, USA
     Florence Sedes, University of Toulouse, France
     Simeon J. Simoff, University of Sydney, Australia
     Dong Thi Bich Thuy, C.I. Vietnam
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