News
The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...
Hosted on MSN24d
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results