LearningCat: Analytical Techniques for Fraud Detection

Machine Learning and AI in Fraud Detection
Fraud is widespread across sectors. The traditional methods are slow, outdated, and unable to deliver the required job to detect frauds in the modern tech world. Machine Learning (ML) and Artificial Intelligence (AI) are the technologies that are reshaping the way businesses detect and prevent fraud. What’s ML and AI use in Fraud? Machine learning […]
Statistical Analysis for Fraud Detection
Fraud stays as a constant issue for businesses irrespective of the size of it. It can be credit card scams. Financial fraud or personal data theft. One of the high-performance tools for detecting and freezing fraud is statistical analysis. In today’s world, the manual methods are not used as they are very time-consuming as well […]
How Data Mining is Changing Fraud Detection
There is fraud in every industry, including banking, e-commerce, healthcare, and insurance. The methods that scammers use to circumvent the system are always evolving. However, fraud detection is getting increasingly sophisticated because of data mining. The act of searching through vast volumes of data for hidden patterns is known as data mining, and it is […]