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    Knowledge discovery in biomedical data facilitated by domain ontologies

    Access Status
    Fulltext not available
    Authors
    Sidhu, Amandeep
    Kennedy, P.
    Simoff, S.
    Dillon, Tharam S.
    Chang, Elizabeth
    Date
    2007
    Type
    Book Chapter
    
    Metadata
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    Citation
    Sidhu, Amandeep S. and Kennedy, Paul J. and Simoff, Simeon and Dillon, Tharam S. and Chang, Elizabeth. 2007. Knowledge discovery in biomedical data facilitated by domain ontologies. In Zhu, Xingquan and Davidson, Ian (ed), Knowledge discovery and data mining: Challenges and realities, pp 189-201. Hershey, PA, USA: IGI Global.
    Source Title
    Knowledge discovery and data mining: Challenges and realities
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/44545
    Collection
    • Curtin Research Publications
    Abstract

    In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the data mining cycle: (1) generating the ontologies; and (2) adapting the data mining algorithms to make use of the ontologies. This chapter presents the state-of-the-art in bringing the background ontology knowledgeinto the pattern recognition task for biomedical data.

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