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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4180893/ https://ncbi.nlm.nih.gov/pubmed/25302317 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/252797 |
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