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Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users
Niigata, Japan July 18-July 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.71Seventh IEEE International Conference ...
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I-Hsien Ting, The University of York, UK
Chris Kimble, The University of York, UK
Daniel Kudenko, The University of York, UK
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
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