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

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

• Type: Conference
• Year: 2007
• Where: ICALT
• Authors: I-Hsien Ting, Chris Kimble, Daniel Kudenko
• Keywords: ICALT 2007, Machine Learning, Mining Based Approach, Potential Browsing Problems, Web Usage Mining