Search:
Computing and Library Services - delivering an inspiring information environment

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

[img] PDF
8.pdf - Published Version

Download (49kB)

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

?? tserg ??
Related URLs:
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

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©