Enhancing AI explainability through meta-learning and association rule mining for feature selection in cybersecurity

A feature selection approach based on a novel integration of association rule mining and meta-learning, designed to enhance both transparency and performance is introduced, resulting in a minimal feature subset achieving better performance compared to previous studies.