See every side of every news story
Published loading...Updated

Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

  • Florida Atlantic University researchers developed a novel machine learning method for fraud detection.
  • Existing fraud detection methods struggle with severely imbalanced datasets containing few fraud instances.
  • The team tested the method on credit card data and Medicare Part D claims from 2013-2019.
  • Mary Anne Walauskis said their method refines labels to minimize fraud labels and false positives.
  • The new method promises more accessible fraud detection and safeguards financial and health systems.
Insights by Ground AI
Does this summary seem wrong?

7 Articles

All
Left
Center
2
Right
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • 100% of the sources are Center
100% Center
Factuality

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

TechXplore broke the news in on Tuesday, April 15, 2025.
Sources are mostly out of (0)

You have read out of your 5 free daily articles.

Join us as a member to unlock exclusive access to diverse content.