Real-time credit card fraud detection using computational intelligence

Quah, Jon T. S. and Sriganesh, M. (2008) Real-time credit card fraud detection using computational intelligence. Expert Systems with Applications, 35 4: 1721-1732. doi:10.1016/j.eswa.2007.08.093

Author Quah, Jon T. S.
Sriganesh, M.
Title Real-time credit card fraud detection using computational intelligence
Journal name Expert Systems with Applications   Check publisher's open access policy
ISSN 0957-4174
Publication date 2008-11-01
Sub-type Article (original research)
DOI 10.1016/j.eswa.2007.08.093
Volume 35
Issue 4
Start page 1721
End page 1732
Total pages 12
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Abstract Online banking and e-commerce have been experiencing rapid growth over the past few years and show tremendous promise of growth even in the future. This has made it easier for fraudsters to indulge in new and abstruse ways of committing credit card fraud over the Internet. This paper focuses on real-time fraud detection and presents a new and innovative approach in understanding spending patterns to decipher potential fraud cases. It makes use of self-organization map to decipher, filter and analyze customer behavior for detection of fraud.
Keyword Self-organizing map
Unsupervised Learning
Risk scoring
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 41 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 71 times in Scopus Article | Citations
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