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May 2006 Data Mining in Electronic Commerce
David L. Banks, Yasmin H. Said
Statist. Sci. 21(2): 234-246 (May 2006). DOI: 10.1214/088342306000000204


Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among whom are statisticians. This paper focuses on some of the contributions that statisticians are making to help change the business world, especially through the development and application of data mining methods. This is a very large area, and the topics we cover are chosen to avoid overlap with other papers in this special issue, as well as to respect the limitations of our expertise. Inevitably, electronic commerce has raised and is raising fresh research problems in a very wide range of statistical areas, and we try to emphasize those challenges.


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David L. Banks. Yasmin H. Said. "Data Mining in Electronic Commerce." Statist. Sci. 21 (2) 234 - 246, May 2006.


Published: May 2006
First available in Project Euclid: 7 August 2006

zbMATH: 05191863
MathSciNet: MR2324083
Digital Object Identifier: 10.1214/088342306000000204

Keywords: Customer relations management , information retrieval , market segmentation , Pricing , security

Rights: Copyright © 2006 Institute of Mathematical Statistics


Vol.21 • No. 2 • May 2006
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