Alejandro Correa Bahnsen is part of Easy Solutions’ Research organization. In this role, Alejandro spends his time on the application of data science to Easy Solutions’ products to ensure our company continues to offer the most advanced and effective fraud prevention solutions. Alejandro holds a Ph.D. in machine learning from Luxembourg University.
Easy Solutions data scientists will present their research on the use of ensembles of cost-sensitive decision trees to detect fraudulent transactions at the Data Science for Cyber Security Conference in London this week. The article below details some of the findings. Read more
One of the newest techniques to detect anomalies is called Isolation Forests. The algorithm is based on the fact that anomalies are data points that are few and different. As a result of these properties, anomalies are susceptible to a mechanism Read more