Construction and algorithms of distributed web usage pattern mining

ZHANG Kejun; YANG Bingru; ZHAO Geng; QU Wenlong; LI Xin

doi:10.13374/j.issn1001-053x.2006.09.020

Volume 28 Issue 9

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2006 > 28(9): 896-901

ZHANG Kejun, YANG Bingru, ZHAO Geng, QU Wenlong, LI Xin. Construction and algorithms of distributed web usage pattern mining[J]. Chinese Journal of Engineering, 2006, 28(9): 896-901. doi: 10.13374/j.issn1001-053x.2006.09.020

Citation:

ZHANG Kejun, YANG Bingru, ZHAO Geng, QU Wenlong, LI Xin. Construction and algorithms of distributed web usage pattern mining[J]. Chinese Journal of Engineering, 2006, 28(9): 896-901. doi: 10.13374/j.issn1001-053x.2006.09.020

Citation:

PDF( 433 KB)

Construction and algorithms of distributed web usage pattern mining

doi: 10.13374/j.issn1001-053x.2006.09.020

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

Received Date: 2005-07-20
Rev Recd Date: 2005-09-09

Available Online: 2021-08-24

Abstract

Abstract

A distributed Web log mining system model (DWLMS) is presented. Based on the analysis on the procedure and algorithm of Web frequent access pattern mining, the more general incremental updating algorithms of local frequent paths (LFP) and global frequent paths (GFP) in a distributed database system based on DWLMS are proposed for discovering the frequent access paths. Some troubles produced by real time incremental distributed Web access information and more communication data are solved better by the algorithms. The method was realized simply and tested with real world Web log information in laboratory, and the results show that the algorithms are valid.
- distributed data mining,
- Web access pattern mining,
- Web log mining,
- frequent path