Real-time credit card fraud detection using computational intelligence

Expert Systems with ApplicationsPublished 17 September 2007

Jon T.S. Quah, M. Sriganesh

DOI10.1016/j.eswa.2007.08.093

Source URL

Citations327

SJR quartileQ1

SJR score1.85

SNIP2.55

TL;DR

A new and innovative approach in understanding spending patterns to decipher potential fraud cases is presented and makes use of Self Organization Map to decipher, filter and analyze customer behavior for detection of fraud.

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.

Keywords

Computer ScienceBusiness, Management and Accounting

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