WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2880
Volume 14, 2015
Web Usage Based Analysis of Web Pages Using RapidMiner
Authors: M. Santhanakumar, C. Christopher Columbus
Abstract: In recent times, due to the rapid usage of World Wide Web, websites are the information provider to the Internet users. Storing and retrieving the information from the web is always a challenging task. Web mining, the term is defined as extract needed information to the users from the Web. Here, the information provided by the Web is not only the exact information of user needs but also suggest the information associated to the exact one. Web mining is classified into three sub tasks such as, Web Content, Web Structure and Web Usage Mining. This paper, introduces the applications and the mining process of data mining tool (open source) Rapidminer. Here, the proposed work analyzes the usage of web pages (i.e. Browsing behavior of user) using two different clustering algorithms such as k-means, which is incorporated in the tool and Fuzzy c means (FCM) clustering using RapidMiner. The results will show operational background of FCM clustering and k-means clustering algorithm based on the cluster centroid.
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Pages: 455-464
WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2880, Volume 14, 2015, Art. #46