Web usage data mining agent

Praveen Madiraju; Yanqing Zhang

doi:10.1117/12.460231

12 March 2002 Web usage data mining agent

Praveen Madiraju, Yanqing Zhang

Proceedings Volume 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV; (2002) https://doi.org/10.1117/12.460231
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

When a user logs in to a website, behind the scenes the user leaves his/her impressions, usage patterns and also access patterns in the web servers log file. A web usage mining agent can analyze these web logs to help web developers to improve the organization and presentation of their websites. They can help system administrators in improving the system performance. Web logs provide invaluable help in creating adaptive web sites and also in analyzing the network traffic analysis. This paper presents the design and implementation of a Web usage mining agent for digging in to the web log files.

Citation Download Citation

Praveen Madiraju and Yanqing Zhang "Web usage data mining agent", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460231

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