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A Survey Analysis on Credit Card Fraud Detection Using Machine Learning

Najmusehar H, Zainab Firdous, Sushma V, M Shahista Banu, Aftab Pasha S

Abstract


Fraud is an act of depriving a person/organization of ownership or money through willingness, deception, or other unfair means. The number of online payments has increased due to online shopping and numerous other websites, as a result so are online fraud increased. Credit card providers are searching for the best systems and technology to reduce and detect credit card fraud. Here, we want to suggest a survey study that introduces a cutting-edge, machine-learning method for detecting credit card fraud. Machine learning techniques can make detections accurately, quickly and in less cost. The primary goal of our experiment is to predict a fraud based on transaction behavior, even before it occurs so that banks/credit card providers can take appropriate actions and avoid frauds.


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References


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