Comparison of Attribute Selection Methods for Web Texts Categorization

Authors:
Rizauddin Saian;Ku Ruhana Ku-Mahamud
Affiliations:
-;-
Venue:
ICCNT '10 Proceedings of the 2010 Second International Conference on Computer and Network Technology
Year:
2010

Citing 0
Cited 1

An Empirical Investigation of Filter Attribute Selection Techniques for High-Speed Network Traffic Flow Classification

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

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.