Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset - researchr publication authors

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Francis Effirim Botchey, Zhen Qin 0002, Kwesi Hughes-Lartey, Ernest Kwame Ampomah. Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset. Informatica (Slovenia), 45(7), 2021. [doi]

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