FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining

This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mi...

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Detalles Bibliográficos
Autores principales: Seeja, K. R., Zareapoor, Masoumeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180893/
https://www.ncbi.nlm.nih.gov/pubmed/25302317
http://dx.doi.org/10.1155/2014/252797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180893/
https://www.ncbi.nlm.nih.gov/pubmed/25302317
http://dx.doi.org/10.1155/2014/252797

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