Knowledge Management in E-commerce: A Data Mining Perspective

摘要：

To achieve knowledge management (KM), we need to integrate information system strategies with business strategies. The implementation of e-commerce provides conditions for KM of enterprises. This article suggests using data mining (DM) as a technique to support knowledge management in e-commerce. We discuss the process of knowledge management in e-commerce and present a reference model. A general architecture of collecting and mining data out of an e-commerce platform is designed to facilitate user discovering valuable knowledge. We detail the four functional modules, namely data collection, data preprocessing, pattern discovery, and knowledge analysis of the integrated architecture. Finally, some challenges in the process of implementing KM using data mining are summarized.

关键词： knowledge management e-commerce data mining architecture

作者: Hong Yu Xiaolei Huang Xiaorong Hu Changxuan Wan

作者单位: Department of Information Science, Nanchang Teachers College, Nanchang, 330029, China School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330013, Chi

会议类型: 国际会议

会议名称: 2009 International Conference on Management of e-Commerce and e-Government ICMeCG 2009(第三届电子商务与电子政务管理国际会议)

会议地点: 南昌

会议语种:英文

页码: 152-155

在线出版日期: 2009-09-01（万方平台首次上网日期，不代表论文的发表时间）