期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2013
卷号：3
期号：5
页码：231-239
出版社：Technopark Publications
摘要：Web mining is defined as the application of data mining techniques on the World Wide Web to find hidden information. Most of the search engines are ranking their search results in response to users’ queries to make their search navigation easier. It includes Link Analysis algorithms i.e., Page Rank, Weighted Page Rank and Weighted Page Content Rank. PageRank is a commonly used algorithm in Web Structure Mining. Weighted Page Rank also takes the importance of the inlinks and outlinks of the pages but the rank score to all links is not equally distributed. i.e. unequal distribution is performed. Weighted Page Content Rank based on web content mining and structure mining that shows the relevancy of the pages to a given query is better determined, as compared to the existing PageRank and Weighted PageRank algorithms. The implementation of Weighted Page Content Rank algorithm has been carried out and the result shows that it takes too much time to process the Web Pages. As the number of Web Pages increases, there is also increase in the processing time. So, in this paper, the Fuzzy Logic is implemented on WPCR algorithm to decrease the processing time of Web pages
关键词：Web Mining; Page Rank; Weighted Page Rank; Weighted Page Content Rank; Fuzzy K Mean; Fuzzy C Mean.
