Web page classification using ant colony optimization
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Abstract (EN)
In this study, Web pages are classified by selecting the best features using an Ant Colony Optimization algorithm and applying the C4.5 classifier. The proposed Ant Colony Optimization based algorithm was experimented on the WebKB and the Conference datasets. The aim of this study is to reduce the number of features to be used during the classification process to improve run-time performance and efficiency of the classifier. The experimental results of this study showed that, Ant Colony Optimization is an acceptable optimization algorithm for Web Page feature selection.
Author
Esra Saraç
How to Cite
Esra Saraç (Master Thesis). Web page classification using ant colony optimization, 2011, Çukurova University.
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EN
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