Pattern Recognition for Finding Similarity of Webpages
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 4
Abstract
We proposed a functional technique for identifying similar Web pages that is based on measuring tree similarity. In this paper we introduce an experiment with two methods for evaluating the similarity of web pages. The results of these methods can be used in different ways for the reordering and clustering a web page set. Both of these methods belong to the field web content mining. The first method is purely focused on the similarity of web pages. This method segments web pages and compares their layouts based on the image processing and graph matching. The second is based on detecting of objects that result from the user point of view on the web page. The similarity of web page is measured as an object match on the analyzed web pages. The key idea behind the method is to transform each Web page into a compressed, normalized tree that effectively represents its visual structure.
Authors and Affiliations
N. Pughazendi , G . Pattusamy
Keywords
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