Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs) derived from the users interaction with the web pages during certain period of Web sessions. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. In this paper, web logs of our university web server logs (http://www.um.ac.ir/) are pre-processed. Then, ant-based clustering is applied to pre-processed logs to extract frequent patterns for pattern discovery and then it is displayed in an interpretable format. Result of this paper would be useful for our university web site owner.

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