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Benefits of associative classification within text categorisation

Barnes, Andrew, McCluskey, T.L. and Osborne, Hugh (2008) Benefits of associative classification within text categorisation. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2008: CEARC’08. University of Huddersfield, Huddersfield, pp. 34-39. ISBN 978-1-86218-067-3

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    Abstract

    Associative Classification has been successfully employed in many diverse classification problem domains, showing high classification accuracy and adequate computation time relative to the other traditionally used solutions. Despite this, very little research has been conducted with it in the problem area of Text Categorisation and only a small number of approaches presently exist that are based on the concept. This paper aims to highlight the main characteristics of general Text Categorisation problems, provide an overview of the principal drawbacks associated with traditionally employed techniques and outline the benefits of utilising Associative Classification methods as a replacement. The potential disadvantages of the approach are also considered and a range of examples is included for each section in order to present a balanced representation that is unbiased.

    Item Type: Book Chapter
    Uncontrolled Keywords: Associative Classification Text Categorisation Document Classification
    Subjects: T Technology > T Technology (General)
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
    School of Computing and Engineering > Pedagogical Research Group
    School of Computing and Engineering > High-Performance Intelligent Computing
    School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
    School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge

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    Depositing User: Graham Stone
    Date Deposited: 19 Mar 2009 12:47
    Last Modified: 05 Jan 2011 12:15
    URI: http://eprints.hud.ac.uk/id/eprint/3676

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