International Journal of Computer Applications
Web usage mining is an application of data mining techniques to discover usage patterns from web data, in order to understand and better serve the needs of web based application. The aim of this paper is to discuss about a system proposed which would perform clustering of user sessions extracted from the web logs. HTML links are extracted from these web logs for each user which constitutes the dataset. Clustering is then performed on these datasets based on the key attributes to partition the users into several homogenous groups such that similar user access patterns belong to the same cluster. Implementation and the results are also discussed.