KES'2002 Special Session:Data clustering based on nonmetric similarity measures

From: Francesco Marcelloni (f.marcelloni@iet.unipi.it)
Date: Mon Feb 25 2002 - 19:21:18 MET

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    KES'2002

    Sixth International Conference on
    Knowledge-Based Intelligent Information
    Engineering Systems

    16-18 September 2002
    Podere d'Ombriano, Crema, Italy

     Special Session

    Data clustering based on nonmetric similarity measures

    Call for papers
    One of the crucial aspects of clustering algorithms is the identification of
    the similarity (most commonly, dissimilarity) measure used to drive the data
    partitioning. Actually, the similarity between any two patterns may depend
    on aspects (e.g., related to contextual or conceptual information) that
    cannot be expressed in terms of distance measures. Approaches based on
    context modeling or conceptual similarity have been proposed in the
    literature. Of course, these techniques require adequate and complete
    knowledge of either the surrounding context or pre-defined concepts,
    respectively. Unfortunately, real-world data tend to be incomplete;
    furthermore, pre-defined concepts are not easily identifiable in real-world
    applications.

    The aim of this special session is to encourage researchers to propose new,
    alternative approaches to data clustering that are able to identify the
    similarity measure most suited to the specific application.

    Submissions
    Papers should be submitted in electronic format (preferably in PDF or
    PostScript) to b.lazzerini@iet.unipi.it or f.marcelloni@iet.unipi.it. Papers
    must be formatted as detailed in IOS Instructions for the Preparation of a
    Camera-Ready Manuscript (see the KES 2002 homepage
    http://www.bton.ac.uk/kes/kes2002 for details). The maximum length of papers
    is five pages (when prepared according to the IOS instructions). Longer
    papers will be subject to an additional page charge. Please note that final
    versions of accepted papers must be submitted in hard copy. All papers must
    be presented by one of the authors, who must pay the registration fee.

    The session papers will be published in the Conference Proceedings (IOS
    Press, Amsterdam, the Netherlands). Extended versions of selected papers
    will be considered for publication in the KES Journal (International Journal
    of Knowledge-Based Intelligent Engineering Systems).

     Important Dates:
    Receipt of papers: 15 April 2002
    Notification of acceptance: 1 May 2002
    Final papers due: 25 May 2002

    Session Chairs
    Beatrice Lazzerini and Francesco Marcelloni
    Dipartimento di Ingegneria della Informazione
    University of Pisa
    Via Diotisalvi, 2 -56122 Pisa, ITALY
    e-mail: {b.lazzerini, f.marcelloni}@iet.unipi.it

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