Sequential Pattern Mining - Approaches and Algorithms

Carl Mooney, John Roddick

    Research output: Contribution to journalArticle

    175 Citations (Scopus)


    Sequences of events, items, or tokens occurring in an ordered metric space appear often in data and the requirement to detect and analyze frequent subsequences is a common problem. Sequential Pattern Mining arose as a subfield of data mining to focus on this field. This article surveys the approaches and algorithms proposed to date.

    Original languageEnglish
    Article number19
    Pages (from-to)19
    Number of pages39
    JournalACM Computing Surveys
    Issue number2
    Publication statusPublished - 2013

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