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In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate ...
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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 ...
The obtained results show, first, that the capacity to detect accounting fraud increases substantially by using the machine learning-based model. Second, a similar improvement in predictive power is ...
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