AN OPTIMIZED PAGE RANK ALGORITHM WITH WEB MINING, WEB CONTENT MINING AND WEB STRUCTURE MINING

  • Kwame Boakye Agyapong PhD Candidate, Computer Science, K.N.U.S.T, Ghana
  • Dr. J.B.Hayfron-Acquah Senior Lecturer, Computer Science, K.N.U.S.T, Ghana
  • Dr. M. Asante Senior Lecturer, Computer Science, K.N.U.S.T, Ghana
Keywords: PageRank, Web Content Mining, Web Mining, Web Structure Mining, Web Usage Mining

Abstract

With the rapid increase in internet technology, users get easily confused in large hypertext structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. In order to achieve this goal, they use the concept of web mining. Web mining is used to categorize users and pages by analyzing the users‟ behaviour, the content of the pages, and the order of the URLs that tend to be accessed in order. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia, and navigate between them via hyperlinks. It is very difficult for a user to find the high quality information which he wants. Page Ranking algorithm is needed which provide the higher ranking to the important pages. In this paper, we discuss the improvement of Page ranking algorithm to provide the higher ranking to important pages. Most of the search engines are ranking their search results in response to user’s queries to make their search navigations easier.

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Published
2017-08-31
How to Cite
Agyapong, K., Acquah, J., & Asante, M. (2017). AN OPTIMIZED PAGE RANK ALGORITHM WITH WEB MINING, WEB CONTENT MINING AND WEB STRUCTURE MINING. International Journal of Engineering Technologies and Management Research, 4(8), 22-27. https://doi.org/10.29121/ijetmr.v4.i8.2017.91