Add to Favourites
To login click here
This article reviews several machine learning methods for preventing fraudulent activities, such as anomaly detection and supervised and unsupervised learning. Anomaly detection is a powerful method to identify patterns that deviate from the norm, while supervised learning can detect deceitful transactions on e-commerce platforms. Unsupervised learning is invaluable when the data may contain hidden or emerging patterns.
