Case Analysis of Web Log Data Mining Based on Rough Sets and Fuzzy Clustering
Wang Heng-gui · Mianyang Shifan Xueyuan xuebao · 2009
Rough Sets theory is a soft computing tool dealing with vague,imprecise,uncertain and incomplete data.And Fuzzy Clustering Analysis is an analysis method of object through establishing fuzzy analogical relations based on character,distance and similarity among objects.Web log data is generally redundant.Moreover the relations among the Web pages are fuzzy and uncertain.In this paper,one of the Web log data is analyzed based on Rough Sets and Fuzzy Clustering,and the interesting pattern from the log of websites is got,the user's browse interest behavior is appended,so as to improve the website's structure and provide individual services for the users.