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Published Articles >> Table of Contents >> Abstract
First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06)
pp. 522-527
Appling Association Rule to Web Prediction
Zhili Zhang, Xuchang University, China
Lei Shi, Beijing Institute of Technology, China
Shen Guo, South China University of Technology, China
Deyu Qi, South China University of Technology, China
Fugang Li, South China University of Technology, China
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.193
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| Abstract |
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With the rapid development of the Internet, Web log
mining, which is used to find useful information about
users from Web log files, has become a heat issue of
research. The aim of association rule mining is to find
interesting and useful patterns in a transaction base. This
paper makes use of variable precision rough set theory to
retrieve the associated rules from Web log and applies
the rules to the prediction of users’ behaviors.
Experiments indicate that the prediction precision is
better than those existing methods
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 Additional Information
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Index Terms- Web mining; web log; rough set;
association rules.
Citation:
Zhili Zhang, Lei Shi, Shen Guo, Deyu Qi, Fugang Li,
"Appling Association Rule to Web Prediction,"
imsccs,
pp. 522-527,
First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06),
2006
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