Mining and tracking evolving web user trends from large web server logs

Statistical Analysis and Data Mining

Olfa Nasraoui¹  Basheer Hawwash¹ 

[1] Knowledge Discovery and Web Mining Laboratory, Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, USA

关键词: web usage mining;    user profiles;    evolution;    web analytics;    personalization;    data streams;    concept drifts;    clustering;   

DOI  :  10.1002/sam.10069

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 摘 要 】

Abstract Recently, online organizations became interested in tracking users' behavior on their websites to better understand and satisfy their needs. In response to this need, web usage mining tools were developed to help them use web logs to discover usage patterns or profiles. However, since website usage logs are being continuously generated, in some cases, amounting to a dynamic data stream, most existing tools are still not able to handle their changing nature or growing size. This paper p.

【 授权许可】

Unknown