A rough fuzzy approach to web usage categorization

This paper introduces a novel clustering scheme employing a combination of rough set theory and fuzzy set theory to generate meaningful abstractions from web access logs. Our experimental results show that the proposed scheme is capable of capturing the semantics involved in web access logs at an acceptable computational expense.