Title :
An Approach of Multi-path Segmentation Clustering Based on Web Usage Mining
Author :
Yang, Houqun ; Lei, JingSheng ; Fu, Fa
Author_Institution :
Chongqing Univ., Chongqing
Abstract :
Web log mining is applying web mining in analysis of web server log in order to solve problems mentioned above. Based on web log of a university, this paper focuses on analyzing and researching technology of web log mining; bringing forward a multi-path segmentation cluster method, which segments and clusters according to user access path to improve efficiency. What is more, this paper discusses how to improve website structure with achievements of web log mining.
Keywords :
Internet; data mining; pattern clustering; Web server log mining; Web site structure; Web usage mining; multipath segmentation clustering; Algorithm design and analysis; Clustering algorithms; Clustering methods; Data mining; Educational institutions; Information analysis; Machine learning algorithms; Pattern analysis; Web server; Web sites;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.145
