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APWEB
2006
Springer

An Effective System for Mining Web Log

8 years 10 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which could further benefit web-site designers with better organization and services. Although there are many existing systems that can be used to analyze the traversal path of web-site visitors, their performance is still far from satisfactory. In this paper, we propose our effective Web log mining system consists of data preprocessing, sequential pattern mining and visualization. In particular, we propose an efficient sequential mining algorithm (LAPIN WEB: LAst Position INduction for WEB log), an extension of previous LAPIN algorithm to extract user access patterns from traversal path in Web logs. Our experimental results and performance studies demonstrate that LAPIN WEB is very efficient and outperforms well-known PrefixSpan by up to an order of magnitude on real Web log datasets. Moreover, we also implement a v...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where APWEB
Authors Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
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