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, LNCS 3242, SEP 18-22, 2004, Univ Birmingham, Sch Comp Sci, Birmingham, ENGLAND, . (Full text available)

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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: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 20 May 2014 09:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14076 (The current URI for this page, for reference purposes)
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