Intelligent Data Analysis in the 21st Century

Paul Cohen, Niall Adams

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

    2 Scopus citations


    When IDA began, data sets were small and clean, data provenance and management were not significant issues, workflows and grid computing and cloud computing didn't exist, and the world was not populated with billions of cellphone and computer users. The original conception of intelligent data analysis - automating some of the reasoning of skilled data analysts - has not been updated to account for the dramatic changes in what skilled data analysis means, today. IDA might update its mission to address pressing problems in areas such as climate change, habitat loss, education, and medicine. It might anticipate data analysis opportunities five to ten years out, such as customizing educational trajectories to individual students, and personalizing medical protocols. Such developments will elevate the conference and our community by shifting our focus from arbitrary measures of the performance of isolated algorithms to the practical, societal value of intelligent data analysis systems.

    Original languageEnglish (US)
    Title of host publicationAdvances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings
    Number of pages9
    StatePublished - 2009
    Event8th International Symposium on Intelligent Data Analysis, IDA 2009 - Lyon, France
    Duration: Aug 31 2009Sep 2 2009

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5772 LCNS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other8th International Symposium on Intelligent Data Analysis, IDA 2009

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science


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