DocumentCode
3143839
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
fYear
2007
fDate
18-20 July 2007
Firstpage
929
Lastpage
930
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.71
Filename
4281204
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