Sequential Pattern Mining - Approaches and Algorithms

Carl Mooney, John Roddick

    Research output: Contribution to journalArticlepeer-review

    225 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 - Feb 2013


    • Sequential pattern mining


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