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The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...
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Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasetsMedicare fraud costs $60 billion each year, and government losses range from $233 billion to $521 billion annually, with improper payments totaling $2.7 trillion since 2003. Machine learning plays a ...
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