An Improved IPTPAR Web Usage Mining Model

摘要：

In the environment of electronic commerce, we can get more effective mining consequence by studying both users browsing behavior and purchasing behavior. In order to solve the problem of the large candidate sets existing in IPTPAR model, an improved IPTPAR model is proposed in web usage mining model. By comparing the executive process of two models in test samples, the results showed that the improved IPTPAR model has higher mining efficiency.

关键词： web usage mining e-commerce browsing path mode association rule

作者: ZHANG Ying YU Dengjie

作者单位: School of Management, University of Ji Nan, Jinan, P.R.China, 250022 ShanDong Economic and Information Technology Committee, Jinan, P.R.China, 250022

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 415-418

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）