|저자||Si-Hun Lee, Jee-Hyong Lee|
|논문지||International Journal of Fuzzy Logic and Intelligent Systems|
Web usage mining is a research field for searching potentially useful and valuable information from web log file. Web log file is a simple list of pages that users refer. Therefore, it is not easy to analyze user's current interest field from web log file. This paper presents web usage mining method for finding users' current interest based on fuzzy categories. We consider not only how many times a user visits pages but also when he visits. We describe a user's current interest with a fuzzy interest degree to categories. Based on fuzzy categories and fuzzy interest degrees, we also propose a method to cluseter users according to their reflects the time factor of users' web visiting as well as the users' visit number.