Surveying the complementary role of automatic data analysis and visualization in knowledge discovery

Enrico Bertini, Denis Lalanne

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

    Abstract

    The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the best of human and machine capabilities. Following a bottom-up bibliographic research approach, the article categorizes the observed techniques in classes, highlighting current trends, gaps, and potential future directions for research. In particular it looks at strengths and weaknesses of information visualization and data mining, and for which purposes researchers in infovis use data mining techniques and reversely how researchers in data mining employ infovis techniques. The article further uses this information to analyze the discovery process by comparing the analysis steps from the perspective of information visualization and data mining. The comparison permits to bring to light new perspectives on how mining and visualization can best employ human and machine skills.

    Original languageEnglish (US)
    Title of host publicationProceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09
    Pages12-20
    Number of pages9
    DOIs
    StatePublished - 2009
    EventACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09 - Paris, France
    Duration: Jul 28 2009Jul 28 2009

    Publication series

    NameProceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09

    Other

    OtherACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09
    CountryFrance
    CityParis
    Period7/28/097/28/09

    Keywords

    • Data mining
    • Knowledge discovery
    • Visual analytics
    • Visual data mining
    • Visualization

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Software

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  • Cite this

    Bertini, E., & Lalanne, D. (2009). Surveying the complementary role of automatic data analysis and visualization in knowledge discovery. In Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09 (pp. 12-20). (Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD '09). https://doi.org/10.1145/1562849.1562851