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
Citation:
I-Hsien Ting, Chris Kimble, Daniel Kudenko, "Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users," icalt, pp.929-930, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007