Data Mining in Electronic Commerce
David L. Banks and Yasmin H. Said
Source: Statist. Sci. Volume 21, Number 2
(2006), 234-246.
Abstract
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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Keywords: Customer relations management; information retrieval; market segmentation; pricing; security
Full-text: Open access
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.ss/1154979824
Digital Object Identifier: doi:10.1214/088342306000000204
Mathematical Reviews number (MathSciNet): MR2324083
Zentralblatt MATH identifier: 05191863
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