A methodological framework for automatic clutter reduction in visual analytics

Enrico Bertini, Giuseppe Santucci

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Visual Analitycs manages billions of data records and, in such a case, pure Information Visualization reveals its limits in terms of expressivity and scalability. In this paper we deal with the critical issue of visual clutter reduction, presenting a general framework for analyzing and reducing clutter in infovis techniques. We detail our proposal using two running examples, i.e., 2D scatterplots and parallel coordinates.

    Original languageEnglish (US)
    Title of host publicationProceedings
    Subtitle of host publicationDMS 2009 - 15th International Conference on Distributed Multimedia Systems
    PublisherKnowledge Systems Institute Graduate School
    Pages375-380
    Number of pages6
    ISBN (Electronic)189170625X
    StatePublished - 2009
    Event15th International Conference on Distributed Multimedia Systems, DMS 2008 - Boston, United States
    Duration: Sep 10 2009Sep 12 2009

    Publication series

    NameProceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems

    Other

    Other15th International Conference on Distributed Multimedia Systems, DMS 2008
    CountryUnited States
    CityBoston
    Period9/10/099/12/09

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Human-Computer Interaction
    • Software

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