Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Hosted on MSN
Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets
Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Forensic analysis has become a cornerstone in the fight against financial fraud, combining accounting, auditing, and investigative skills to uncover and prevent fraudulent activities. As financial ...
In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...
Database design and management are essential pillars of success in the financial sector, where efficient data handling and adherence to regulatory standards are critical. The global market for ...
A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...
2024 MAY 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Research findings on science and technology are discussed in a new report. According to news originating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback