An intelligent algorithm of data pre-processing in Web usage mining

Web usage mining is the application of data mining techniques to usage logs of large Web data repositories in order to produce results used in some aspects, such as Web site design, Web server design, users classification, creating adaptive Web sites and Web site personalization. Data preprocessing is a critical step in Web usage mining. The results of data preprocessing are relevant to the next steps, such as transaction identification, path analysis, association rules mining, sequential patterns mining, and so forth. An algorithm called "USIA" was presented and its advantage and disadvantage were analyzed, USIA is experimentally evaluated that not only its efficiency is high, but also it can identify user and session exactly.