Overview Credit card fraud detection is an extreme class-imbalance problem: fraud is ~0.17% of transactions, so a model that predicts "never fraud" is 99.8% accurate and completely useless. This ...

HHS using AI to detect fraud after DOJ reveals alleged billion-dollar scheme The Department of Justice uncovers a $6.5 billion healthcare fraud scheme, detailing how culprits bought luxury homes, ...

Add Yahoo as a preferred source to see more of our stories on Google. FILE PHOTO - A view of the headquarters of the German Society for International Cooperation (GIZ) in Eschborn. (is associated with ...

Pulling off health insurance fraud used to require real skill. Fabricating medical records demanded knowledge of clinical terminology and billing codes. Impersonating a patient or physician over the ...

Federal regulators have expanded a civil case involving the alleged loss of $91 million from the Jackson Area Federal Credit Union. Former CEO Leigh Bridges allegedly used credit union money to buy ...

Hawaii Gov. Josh Green on Friday signed an executive order preserving solar tax credits for 2026 amid fears that a state tax law amending the incentives could imperil more than $400 million of ongoing ...

Abstract: Credit card fraud detection presents a persistent challenge due to severe class imbalance and the high costs associated with undetected fraudulent transactions. While oversampling techniques ...

Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...