Refined and Incremental Centroid-based approach for Genre Categorization of Web pages
نویسنده
چکیده
In this paper, I propose a refined and incremental centroid-based approach for genre categorization of web pages. My approach is based on the construction of genre centroids using a set of training web pages. These centroids will be used to classify new web pages. The originality of my approach is the implementation of two new aspects, which are refining and incrementing. My approach is based on the combination of three information sources, which are the URL address, the logical structure and the hypertext structure. Conducted experiments show that the proposed approach is very fast and provide micro-average accuracy more than 95%, which is better than those obtained by other works on genre categorization of web pages and other machine learning techniques.
منابع مشابه
A New Centroid-based Approach for Genre Categorization of Web Pages
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