Fraud Detection in Banking Using KNN (K-Nearest Neighbor) Algorithm

چکیده مقاله

Financial abuses and fraud in transaction banking has been increased because of using modern banking system. These abuses lose significant financial resources and decrease trust of customers in use of modern banking system and reduce effectiveness of these systems in optimum capital management and financial transactions. Although the best way to reduce fraud is preventing fraud but the fraudsters achieve their goals in some ways. So we need methods to identify suspicious transaction. In recent years, data mining techniques have been able to successfully prevent money laundering and detect credit card fraud.

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