TY - EJOU AU - T1 - Web Pages Categorization Based on Classification & Outlier Analysis through FSVM T2 - Review of Computer Engineering Research PY - 2014 VL - 1 IS - 1 SN - 2410-9142 AB - 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.  KW - DO -