Applications II: Web Content Categorization

With the explosive growth of information on the web, there is an abundance of information that must be dealt with effectively and efficiently. This area in particular deserves the attention of feature selection due to the increasing demand for high-performance intelligent internet applications. This motivates the application of FRFS to the automatic categorization of user bookmarks/favorites and web pages. The results show that FRFS significantly reduces data dimensionality by several orders of magnitude with little resulting loss in classification accuracy.

R. Jensen and Q. Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. IEEE Press/Wiley & Sons.