doi: 10.7763/IJET.2010.V2.161
Mining Web Usage within a Local Area Network
Hsin-Chih Lin
,
- the Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan 70005.
Abstract
In this study, we propose a novel method of mining web usage within a local area network (LAN). The proposed method makes use of Taiwanese Yahoo! (i.e. Yahoo! Kimo) to create a topic hierarchy and classifies the most visited websites for users within a LAN into the hierarchy. Each of the websites will have a unique category path. According to the category path, web usage statistics can be accumulated from the bottommost level, i.e. a single website, to the topmost level, i.e. the set of all websites. Thus, web surfing demands of users within the LAN can be analyzed at various levels of detail. Experimental results strongly support the effectiveness of the proposed method.
Keywords
- Web usage mining
- Yahoo! Directory
- Yahoo! Search
How to Cite
Hsin-Chih Lin and Mei-San Choi, "Mining Web Usage within a Local Area Network," International Journal of Engineering and Technology, vol. 2, no. 5, pp. 435-441, 2010. https://doi.org/ 10.7763/IJET.2010.V2.161
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).