Cashless transactions, which include internet, credit card, and mobile wallet transactions, are growing in popularity and have recently become well-known in financial transactions. The use of online transactions has increased, and there may be rapid improvement in e-trade and online banking in the coming decade. As the number of these cashless Transaction rises, so does the number of fraudulent transactions. Fraud can be identified by analyzing prior customer (user) spending patterns data on Transaction. This paper presents a review of various fraud detection techniques and discuss the issues regarding the financial dataset used in fraud detection technique.
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