Distributed Web usage clustering based on multi-mirror image sites

ZHANG Kejun; YANG Bingru; ZHAO Geng; QU Wenlong

doi:10.13374/j.issn1001-053x.2007.09.047

Volume 29 Issue 9

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ZHANG Kejun, YANG Bingru, ZHAO Geng, QU Wenlong. Distributed Web usage clustering based on multi-mirror image sites[J]. Chinese Journal of Engineering, 2007, 29(9): 964-970. doi: 10.13374/j.issn1001-053x.2007.09.047

Citation:

ZHANG Kejun, YANG Bingru, ZHAO Geng, QU Wenlong. Distributed Web usage clustering based on multi-mirror image sites[J]. Chinese Journal of Engineering, 2007, 29(9): 964-970. doi: 10.13374/j.issn1001-053x.2007.09.047

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Distributed Web usage clustering based on multi-mirror image sites

doi: 10.13374/j.issn1001-053x.2007.09.047

1. Beijing Electronic Science and Technology Institute, Beijing 100070, China;
2. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2006-07-20
Rev Recd Date: 2006-09-16

Available Online: 2021-08-16

Abstract

Abstract

The general algorithms of local Web usage clustering (LUC) and global Web usage clustering (GUC) in a distributed data mining system based on multi-mirror sites were proposed, which better solved the troubles made by distributed Web access information and communication number. Java language was used to implement the algorithms and its performance was studied. The results showed that the algorithms were valid and could be effectively and accurately identified by Web user group patterns.
- mirror image sites,
- Web,
- clustering,
- user transactions clustering,
- distributed data mining