Web Pages Categorization Based on Classification & Outlier Analysis through FSVM

Geeta R.b, Shobha R.b, Shashikumar G Totad and Prasad Reddy Pvgd

Review of Computer Engineering Research, 2014, vol. 1, issue 1, 19-30

Abstract: The performance of Support Vector Machine is higher than traditional algorithms. The training process of SVM is sensitive to the outliers in the training set. Here in this Paper, a new approach called, Web Pages Categorization based on Classification and Outlier Analysis (WPC-COA), is proposed that uses a polynomial Kernel function to map web page tuples to high dimensional feature space.

Keywords: Support vector machine; Outliers; Categorization; Log file; Kernel parameters; Web page (search for similar items in EconPapers)
Date: 2014
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