Clustering of users based on Browsing Behavior

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.