Abstract—With the rapid increase in the number of Internet users, there is a constantly increasing requirement for automatic classification techniques with greater classification accuracy. Existing algorithms are based on the text content of the web pages for classification. However, the web pages classified using text content may not yield desired results if the keywords are irrelevantly specified. This provides scope for implementing feature reduction techniques with page ranking on web pages so as to get desired results within less time and greater accuracy. Only then information on the web can be used effectively by the users. In this paper, we propose a unique method for classification of web pages by applying feature selection technique along with page rank. The aim is to improve the classification and search time of web contents so as to provide accurate and speedy results to the users.
Index Terms—Web Page Classification, Feature Selection, Feature Reduction, Page Rank.
1 Research Scholar, Lakshmi Narain College of Technology, Bhopal
2 Research Scholar, Bansal Institute of Science and Technology, Bhopal
3 Asst. Professor, Bansal Institute of Science and Technology, Bhopal
1sinijoseph@hotmail.com, 2aishwarya.vishwakarma@gmail.com
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Cite: Sini Shibu, Aishwarya Vishwakarma and Niket Bhargava , "A combination approach for Web Page Classification using Page Rank and Feature Selection Technique,"
International Journal of Computer Theory and Engineering vol. 2, no. 6, pp. 897-900, 2010.
