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- W2898866036 abstract "Credit card fraud is a serious and ever-growing problem with billions of dollars lost every year due tofraudulent transactions. Fraud has always been present and will always be. It is also ever changing, as thetechnology and usage patterns change over time, which makes CCFD (credit card fraud detection) a particularlyhard problem. Traditionally, fraud detection relied solely on domain experts’ detection rules, but in the pastdecade or two, such solutions are being augmented with data mining models for fraud detection. The progress inthis area is impeded both by the sensitive nature of the data and great commercial potential – the industrialsolutions are understandably kept secret and authentic datasets are rare and few. In this paper we study theCCFD problem with its typical problems and state of the art solution. We survey the recent literature and bring astructured overview of relevant fraud detection features and data mining approaches to this problem." @default.
- W2898866036 created "2018-11-09" @default.
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- W2898866036 date "2018-01-01" @default.
- W2898866036 modified "2023-09-28" @default.
- W2898866036 title "A Systematic Review of Data Mining Approaches to Credit Card Fraud Detection" @default.
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