Abstract: The identification of fraud, waste, and abuse in healthcare systems is critical to minimise financial losses incurred by medical aid companies. Traditional fraud detection methods are based ...

Overview:Python dominates job markets in emerging sectors like AI, data science, and cybersecurity.Ruby remains strong in web ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The risk and difficulty of identifying fraudulent activity in real time have increased due to the growing digitization of financial transactions. Using Principal Component Analysis (PCA) for ...

Add Yahoo as a preferred source to see more of our stories on Google. The process helps protect retailers from refunding money to scammers. Michael Kors Outlet is selling a $358 satchel for just $72 — ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

Indonesia’s Directorate General of Population and Civil Registration (Ditjen Dukcapil) is shopping for a firm to provide a face biometric liveness detection system as the country looks to upgrade its ...