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    State of the art of data mining of tree structured information

    116308_8673_PUB-CBS-EEB-MC-45906.pdf (15.86Mb)
    Access Status
    Open access
    Authors
    Tan, H.
    Hadzic, Fedja
    Dillon, Tharam S.
    Chang, Elizabeth
    Date
    2008
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Tan, Henry and Hadzic, Fedja and Dillon, Tharam and Chang, Elizabeth. 2008. State of the art of data mining of tree structured information. International Journal of Computer Systems Science and Engineering. 23 (4): pp. 255-270.
    Source Title
    International Journal of Computer Systems Science and Engineering
    Additional URLs
    http://www.crlpublishing.co.uk/journal.asp?j=csse&s=Vol%2023%202008
    ISSN
    02676192
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    A link to the Journal website is available at: http://csse.debii.curtin.edu.au/index.php/csse

    URI
    http://hdl.handle.net/20.500.11937/25979
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents the current state-of-the-art of the existing work in the area of tree mining with association rule mining as the case in point and XML mining as one applicable example. We discuss the increasing adoption of XML as a data exchange and storage medium and the challenges it poses in the area of frequent pattern mining. The main focus is on the elements of association mining, problems of tree enumeration, candidate generation and frequency counting.

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