International Journal of Engineering and Technology

Web Usage Data is related to web activity. The majority of the techniques that have been used for pattern discovery from Web Usage Data are clustering methods. In e-commerce applications, clustering methods can be used for the purpose of generating marketing strategies, product offerings, personalization and Web site adaptation and also used for preload webpages which are likely to be accessed in near future. A novel Partitional based approach for dynamically grouping Web users based on their Web access patterns using ART1 NN clustering algorithm is presented in this paper.