An Online Web Usage Mining System Using Stochastic Timed Petri Nets

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