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Comparison of attribute selection methods for web texts categorization


Saian, Rizauddin and Ku-Mahamud, Ku Ruhana (2010) Comparison of attribute selection methods for web texts categorization. In: Second International Conference on Computer and Network Technology (ICCNT 2010), 23 - 25 April 2010, Bangkok, Thailand .

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Abstract

This paper presents a study on the performance of attribute selection methods to be used with Ant-Miner algorithm for web text categorization.The new generated data set by each attribute selection method was classified with Ant-Miner to see the performance in terms of predictive accuracy and the number of rules generated.The results of classification were also compared to C4.5 algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Web mining; classification, attribute selection; machine learning.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 21 Dec 2011 04:24
Last Modified: 08 Apr 2015 02:25
URI: http://repo.uum.edu.my/id/eprint/4010

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