[UAI] CFP - VDM@ECML/PKDD2002: Workshop on Visual Data Mining at ECML/PKDD'2002

From: Simeon J. Simoff (simeon@arch.usyd.edu.au)
Date: Fri Apr 12 2002 - 09:33:29 PDT

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    Call for papers

    VDM@ECML/PKDD2002 - Workshop on Visual Data Mining

    in conjunction with ECML/PKDD2002 - The 13th European Conference on Machine
    Learning (ECML'02) and The 6th European Conference on Principles and
    Practice of Knowledge Discovery in Databases (PKDD-02), 19-23 August, 2002,
    Helsinki, Finland

    Paper submission due 24th May 2002.

    Workshop Website: http://www-staff.it.uts.edu.au/~simeon/vdm_pkdd2002/
    Workshop contact: vdm-chairs@it.uts.edu.au
    Workshop Date: 9 or 20 August 2002

    WORKSHOP CHAIRS
    Simeon J. Simoff (simeon@it.uts.edu.au), Monique Noirhomme-Fraiture
    (mno@info.fundp.ac.be)
    and Michael H. Böhlen (boehlen@cs.auc.dk)

    TOPICS OF INTEREST

    The scope of the workshop covers the intersection of broad range of
    disciplines. The major topics of the workshop include but are not limited
    to:
    - - methods for visual data analysis
    - - multimedia support for visual data mining
    - - data and knowledge representation and metaphors visualization for visual
    data mining
    - - metrics for evaluation of visual data mining methods
    - - virtual environments for data visualisation and exploration
    - - visual reasoning and cognitive aspects of visual data mining
    - - results validation
    - - complexity, efficiency and scalability in visual data mining
    - - fractals visualisation - fractal dimensions, self-similarity and
    symmetry - in visual data mining
    - - immersive visual data mining in virtual reality systems
    - - collaborative visual data exploration and model building
    - - interactivity and iterativity in visual data mining
    - - frameworks for visual data mining and its integration with other data
    mining approaches

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



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