ABSTRACT: Anomaly detection is critical in enterprises, with applications ranging from preventing financial fraud, and defending network intrusions, to detecting imminent device failures. Although previously developed research offers a plethora of stand-alone methods for detecting particular types of anomalies, there is no end-to-end solution for data scientists to effectively discover anomalies over large volumes of […]