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Web page classification with an ant colony algorithm

Holden, Nicholas and Freitas, Alex A. (2004) Web page classification with an ant colony algorithm. In: Parallel Problem Solving from Nature - PPSN VIII 8th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1092-1102. ISBN 3-540-23092-0. (doi:10.1007/978-3-540-30217-9_110) (KAR id:14076)

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http://dx.doi.org/10.1007/978-3-540-30217-9_110

Abstract

This paper utilizes Ant-Miner - the first Ant Colony algorithm for discovering classification rules - in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments. It also investigates the benefits and dangers of several linguistics-based text preprocessing techniques to reduce the large numbers of attributes associated with web content mining.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-30217-9_110
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14076 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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