Call of Papers for Current Volume ********************OnLine Paper Submission for Current Volume

Volume & Issue no: Volume 5, Issue 2, March - April 2016

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Title:
Clustering of users based on Browsing Behavior
Author Name:
M. Sree Vani
Abstract:
Abstract: Web mining is the intelligent analysis of Web data. With Web mining techniques, business organization can gain a better understanding of both the web and web users preferences to help them run their business more efficiently. By analyzing the characteristics of the user clusters, web users can be understood better and thus can be provided with more suitable and customized services. To identify subgroups of users, we used clustering to categorize users on the basis of their behaviors. Each clustering method uses different criteria to group data objects. Our solution proves that group together clients or data items that have similar characteristics gives best results. Keywords: web mining, user behavior, browsing data
Cite this article:
M. Sree Vani , " Clustering of users based on Browsing Behavior" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 2, March - April 2016 , pp. 004-007 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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