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Authors
Affiliations
1 Department of Computer Engineering, Amrutvahini College of Engg., Sangamner, Maharashtra, IN
2 Department of Computer Science and Engineering, Dr. D. Y. Patil College of Engineering, Kolhapur, Maharashtra, IN
Source
Data Mining and Knowledge Engineering, Vol 1, No 7 (2009), Pagination: 346-350
Abstract
Explosive growth of the web has made information search and extraction harder to the web. User needs to automatically search product based web pages to locate the product description from huge data. In this paper, we propose simple technique to locate products in the retrieved web page of the e-commercial web site. For this we are taking the benefits of hierarchical structure of HTML language. First it discovers the set of product descriptions based on the measure of entropy at each node in the HTML tag tree of the retrieved web page. Afterward, a set of association rules based on heuristic features is employed for more accuracy in the product extraction.
Keywords
Entropy, Representative Value, Association Rule, Filter, Product Description.
