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Web usage mining is the application of data mining techniques to web log data repositories. It is used in finding the user access patterns from web access log. User page visits are sequential in nature. In this paper we presented new Rough set Dbscan clustering algorithm which identifies the behavior of the users page visits, order of occurrence of visits . Web data Clusters are formed using the rough set Similarity Upper Approximations. We present the experimental results on MSNBC webdoi:10.1109/dsde.2010.14 dblp:conf/dsde/SanthisreeDAN10 fatcat:auu3wkicuzhybphddmcg42cxzu