Title: Employing transaction aggregation strategy to detect credit card fraud
Abstract: Credit card fraud costs consumers and the financial industry billions of dollars annually. However, there is a dearth of published literature on credit card fraud detection. In this study we employed transaction aggregation strategy to detect credit card fraud. We aggregated transactions to capture consumer buying behavior prior to each transaction and used these aggregations for model estimation to identify fraudulent transactions. We use real-life data of credit card transactions from an international credit card operation for transaction aggregation and model estimation.
Publication Year: 2012
Publication Date: 2012-11-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 121
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