Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Interval Set Clustering of Web Users with Rough K-Means
Journal of Intelligent Information Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
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Time duration and presence of a web page are two factors disclosing web users' interest. The time duration on a web page is characterized as a fuzzy linguistic variable because it is easily understandable for people and the subtle difference between two durations is disregarded. Thus a web access pattern is transformed as a fuzzy web access pattern, which is a fuzzy vector that are composed of $n$ fuzzy linguistic variable or 0. Furthermore, the clusters in web access patterns do not necessarily have crisp boundaries. This paper proposes a modified k-means clustering algorithm based on properties of rough set to group the gained fuzzy web access patterns. Finally, an example is provided for clustering the given web access patterns. The results are proved to be effective.