The authors propose an approach towards detecting credit card frauds using rough set theory and artificial neural networks. They aim at finding an optimal attribute reduct using rough set theory ...

With billions of credit card transactions processed daily, there is opportunity for fraudulent activity, or perceived fraudulent activity, to slip in. Spade’s co-founders Oban MacTavish, Tess ...

When a card is swiped, the card issuer sends Spade the data in real-time, and that transaction is linked with a verified merchant identity.

If we consider that most datasets with credit card transactions are unlabeled or that fraudulent transactions cannot be reliably manually identified, the chances of applying a supervised machine ...

Credit Card Fraud Detection and Prevention Publication Trend The graph below shows the total number of publications each year in Credit Card Fraud Detection and Prevention.

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious transactions.