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Organising Documents Based on Standard-Example Split Test

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

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Abstract

A purpose of text-mining is to summarise a large collection of documents. This paper proposes a new method to view a summary of large document set. It consists of two techniques, one of which constructs classification trees using a split test called the standard-example (standard-document) split test, and the other is a method to display features in each class of documents classified in the trees. The standard-example split test is a test which divides examples by their distance (or similarity) from a standard-example which is selected by a criterion. This is the first method which applies this test to text mining. The display method exhibits representative words of document classes which emphasise their feature.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho Showa, Nagoya, 466-8555, Japan

    Kenta Fukuoka, Tomofumi Nakano & Nobuhiro Inuzuka

Authors
  1. Kenta Fukuoka
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  2. Tomofumi Nakano
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  3. Nobuhiro Inuzuka
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Fukuoka, K., Nakano, T., Inuzuka, N. (2005). Organising Documents Based on Standard-Example Split Test. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_112

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  • DOI: https://doi.org/10.1007/11552413_112

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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