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1998
ACM

Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection

11 years 9 months ago
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproachto address these three issues. Ourempirical results from a credit card fraud detection task indicate that the approachcan significantly reduceloss due to illegitimate transactions.
Philip K. Chan, Salvatore J. Stolfo
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1998
Where KDD
Authors Philip K. Chan, Salvatore J. Stolfo
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