Web Page Change Detection Using Data Mining Techniques and Algorithms 

Abstract

This paper describes web page detection for structural change detection which have to provide direct access to information on the web page. A new technique has been provided for detecting changes in Web page. The technique is a new method to measure the similarity of two pages that represent the actual and the previous version of the detected page and it has been effectively used to discover changes in selected portion of an original web page. The newly proposed CMW technique and X-Diff algorithm can be used to detect the changes on selected web page and has been implemented in the CMW system to provide detection of web page change service for indexing purposes and keeping web pages up-to-date, later it has been used by search engine. Web-crawling which is used to arrange the unstructured data to structured data. The focused crawler mechanism that only scans the pages by using general crawling policies. The proposed algorithm and technique extracts the changes very efficiently from the various web pages and increase the detection accuracy and implement the CMW technique to reduce time and improve the speed

Authors and Affiliations

J. Rubana Priyanga , R. Kousalya

Keywords

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  • EP ID EP127870
  • DOI -
  • Views 93
  • Downloads 0

How To Cite

J. Rubana Priyanga, R. Kousalya (2015). Web Page Change Detection Using Data Mining Techniques and Algorithms . International Journal of Computer Science & Engineering Technology, 6(10), 608-616. https://europub.co.uk/articles/-A-127870