Research and Development of Data Preprocessing in Web Usage Mining

摘要：

Web Usage Mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. There are several preprocessing tasks that must be performed prior to applying data mining algorithms to the data collected from server logs. Data preprocessing is the process to convert the raw data into the data abstraction necessary for the further applying the data mining algorithm. This paper presents several data preparation techniques that can be used to improve the performance of data preprocessing in order to identify unique users and user sessions. These techniques and algorithms have been proved valid and efficient by experiments. Finally, we conclude this paper and propose the future research directions.

关键词： Web Usage Mining Web log Data Preprocessing User Session

作者: Li Chaofeng

作者单位: School of Management,South-Central University for Nationalities,Wuhan 430074,P.R.China

会议类型: 国际会议

会议名称: 2006 International Conference on Management Science and Engineering(2006管理科学与工程国际学术研讨会)

会议地点: 武汉

会议语种:英文

页码: 1311-1315

在线出版日期: 2006-11-08（万方平台首次上网日期，不代表论文的发表时间）