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Research on client behavior pattern recognition system based on Web log mining

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1 Author(s)
Wen-Hai Gao ; College of Economy and Management Hebei University of Science and Technology, Shijiazhuang 050018, China

With the explosive growth of data available on the World Wide Web, the sheer volume of traffic is kept on the enterprise's Web site. Discovery and analysis of useful information from the World Wide Web becomes a practical necessary. Web Log Mining is the application of Data Mining techniques to discover Client behavior patterns from Web data in order to understand and serve the needs of Web. In the article we will introduce the method how to use data mining technique to excavate the client behavior pattern from Web log file, and play an emphasis on analyzing client behavior pattern recognition system and its application, so as to help enterprises obtain client information conveniently and automatically.

Published in:

2010 International Conference on Machine Learning and Cybernetics  (Volume:1 )

Date of Conference:

11-14 July 2010