Title :
Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users
Author :
Ting, I-Hsien ; Kimble, Chris ; Kudenko, Daniel
Author_Institution :
Univ. of New York, New York
Abstract :
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
Keywords :
Internet; Web design; data mining; human factors; Web site design; Web usage mining; automatic pattern discovery; co-occurrence pattern mining with distance measurement; potential user browsing problem; Association rules; Computer science; Data analysis; Data mining; Databases; Distance measurement; Fingers; Pattern analysis; Web page design; Web pages;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.71
