How to Implement Anomaly Detection and Fraud Analysis with PHP
This article explains how to use PHP in combination with machine learning algorithms for anomaly detection and fraud analysis. By collecting user transaction and behavior data, the system can monitor and analyze user actions in real time, identifying potential fraudulent activities and taking effective countermeasures. The article details the processes of data collection, feature extraction, model training, and anomaly detection, ensuring the security and user experience of e-commerce platforms.
								
								 
					 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							 
							