doi:10.3850/978-981-08-7300-4_0082

ABSTRACT

Now-a-days business transactions are carried out over the web with E-Commerce (Electronic Commerce) activity is undergoing a significant revolution.CRM(Customer-Relationship Management) is the ability to track user’s browsing behavior, down to individual mouse clicks, has brought the vendor and end customer to very closer than ever. This paper provides a phenomenon “Mass Customization” for vendors, to personalize their product for individual customers at a massive scale. This phenomenon is one of the applications of web usage mining, which is the process of applying data mining techniques to the discovery of usage patterns from web data. Data mining techniques when associated with the web, called web mining can be broadly divided into three classes: i) Content mining ii) Usage mining iii) Structure mining .In this paper we present an up-to-date framework for web usage mining, which will help both profit organizations and non-profit organizations, to understand “who” the users were, “what” they looked at and “how” their interests changed with time.

Keywords: User’s behavior, Web usage mining, Usage patterns, Individual mouse clicks.

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