An Online Web Usage Mining System Using Stochastic Timed Petri Nets

Web personalization systems are typical applications of Web usage mining. The Web personalization process is structured according to an online component and an off-line component. The off-line component is aimed at building the knowledge base by analyzing past user profiles that is then used in the online component. General Web personalization systems mainly use offline data preprocessing and the mining process is not time-limited. How-ever, this approach is not suitable in real-time dynamic environments. Therefore, we need high-performance online Web usage mining techniques to provide solutions to these problems. In this paper, we present how to implement a complete online data preprocessing process using STPN. We pro-pose the architecture of online Web usage mining in the data stream environment and develop an online Web us-age mining system using STPN that provides Web personalized online services.