Computer and Network Technology, International Conference on (2010)
Apr. 23, 2010 to Apr. 25, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCNT.2010.13
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.
web mining, classification, attribute selection, machine learning
Ku Ruhana Ku-Mahamud, Rizauddin Saian, "Comparison of Attribute Selection Methods for Web Texts Categorization", Computer and Network Technology, International Conference on, vol. 00, no. , pp. 115-118, 2010, doi:10.1109/ICCNT.2010.13