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Data mining in electronic commerce

Publication ,  Journal Article
Banks, DL; Said, YH
Published in: Statistical Science
May 1, 2006

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. © Institute of Mathematical Statistics, 2006.

Duke Scholars

Published In

Statistical Science

DOI

ISSN

0883-4237

Publication Date

May 1, 2006

Volume

21

Issue

2

Start / End Page

234 / 246

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Banks, D. L., & Said, Y. H. (2006). Data mining in electronic commerce. Statistical Science, 21(2), 234–246. https://doi.org/10.1214/088342306000000204
Banks, D. L., and Y. H. Said. “Data mining in electronic commerce.” Statistical Science 21, no. 2 (May 1, 2006): 234–46. https://doi.org/10.1214/088342306000000204.
Banks DL, Said YH. Data mining in electronic commerce. Statistical Science. 2006 May 1;21(2):234–46.
Banks, D. L., and Y. H. Said. “Data mining in electronic commerce.” Statistical Science, vol. 21, no. 2, May 2006, pp. 234–46. Scopus, doi:10.1214/088342306000000204.
Banks DL, Said YH. Data mining in electronic commerce. Statistical Science. 2006 May 1;21(2):234–246.

Published In

Statistical Science

DOI

ISSN

0883-4237

Publication Date

May 1, 2006

Volume

21

Issue

2

Start / End Page

234 / 246

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics