Inspired Rule-Based User Identification

摘要：

Web log mining is an important branch of Web usage mining. It is a kind of specific application of data mining. It can find Web user mode of behavior through processing server-side log files, and further improve the structure of the website or provide users with personalized service. Data preprocessing is an important step of Web log mining. In general, data preprocessing is divided into four steps: data cleaning, user identification, session identification, path supplement, transaction identification. This paper proposes a user identification method which is based on inspired rules. Experiment results prove the effectiveness of this method.

关键词： Web Log Mining Preprocessing User Identification

作者: Peng Yang Yan Zheng

作者单位: School of Computer Science,Beijing University of Posts and Telecommunications 100876 Beijing

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 618-624

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）