Predictive fraud detection system using machine learning

Identifier:  TFG:9599

Handle: https://hdl.handle.net/20.500.11797/TFG9599

Authors:  Gómez Matamoros, Rubén

Abstract:
This Bachelor's Thesis develops a predictive system for fraud detection in digital environments, applying machine learning techniques. The project includes analysis, design, and validation phases, simulating a realistic environment to evaluate its effectiveness in online shopping. The proposed solution identifies suspicious activity, improving digital security. Furthermore, it reflects the application of knowledge acquired during the degree program to a current problem with significant technological and social impact, offering a useful tool to strengthen trust in digital systems.