Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users

I-Hsien Ting, Chris Kimble, Daniel Kudenko

Research output: Contribution to conferencePaperpeer-review


In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified
Original languageUndefined/Unknown
Publication statusPublished - 2007

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