Title :
User behavior mining on large scale web log data
Author :
Tan, Shun-hua ; Chen, Miao ; Yang, Guo-hai
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
Abstract :
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.
Keywords :
Internet; data mining; optimisation; pattern clustering; regression analysis; SQL Server 2000; VC; Website server configuration; clustering model; large scale Web log data; network structure optimization; regression model; user behavior mining; Analytical models; Data models; Databases; Equations; Internet; Mathematical model; Servers; Behavior analysis; Data Analysis; Web data mining;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709851
