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User behavior mining on large scale web log data

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3 Author(s)
Shun-Hua Tan ; Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China ; Miao Chen ; Guo-Hai Yang

In this paper we propose a web log mining-based network user behavior analysis scheme, which plays an important role in network structure optimization and website server configuration. Based on clustering and regression model, we studied the network user's visit model in a university by analyzing a large amount of web log data which is collected from the university campus network. The data analyzing software was developed by VC and SQL Server 2000.

Published in:

Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on

Date of Conference:

17-19 Dec. 2010