DIAGNOSTIC ENGINE AND CLASSIFIER FOR DISCOVERY OF BEHAVIORAL AND OTHER CLUSTERS RELATING TO ENTITY RELATIONSHIPS TO ENHANCE DERANDOMIZED ENTITY BEHAVIOR IDENTIFICATION AND CLASSIFICATION

摘要

Embodiments of a system and methods therefor including an optimized classifier builder and diagnostic engine that derandomizes event data for atypical yet coordinated behavior of actors that appears random to conventional predictors. The system is configured to diagnose and build Artificial Intelligence and machine learning classifiers that identify, differentiate and predict behaviors for entities and groups of entities that can be masked by conventional predictive classification.