DocumentCode
1692220
Title
Knowledge Management in E-commerce: A Data Mining Perspective
Author
Yu, Hong ; Huang, Xiaolei ; Hu, Xiaorong ; Wan, Changxuan
Author_Institution
Dept. of Inf. Sci., Nanchang Teachers´´ Coll., Nanchang, China
fYear
2009
Firstpage
152
Lastpage
155
Abstract
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 pre-processing, pattern discovery, and knowledge analysis of the integrated architecture. Finally, some challenges in the process of implementing KM using data mining are summarized.
Keywords
data mining; electronic commerce; information systems; knowledge management; KM; business strategy; data collection; data mining; data preprocessing; electronic commerce; information system; integrated architecture; knowledge analysis; knowledge management; pattern discovery; valuable knowledge discovery; Conference management; Data mining; Delta modulation; Electronic commerce; Electronic government; Financial management; Information technology; Knowledge management; Stress; Technology management; architecture; data mining; e-commerce; knowledge management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government, 2009. ICMECG '09. International Conference on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3778-8
Type
conf
DOI
10.1109/ICMeCG.2009.109
Filename
5279962
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