ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,754,793, issued on Oct. 6, was assigned to THE BANK OF NEW YORK MELLON (New York).
"Multi-contextual anomaly detection" was invented by Innamul Hassan Abdul Azeez (Chennai, India), Badri V. Mangalam (South Barrington, Ill.) and Sridhar M. Seetharaman (Princeton, N.J.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The disclosure relates to systems and methods of detecting anomalies using a plurality of machine learning models. Each of the machine learning models may be trained to detect a respective behavior of historical data values for a given metric. Thus, a system may perform anomaly detection based on different behaviors of the same metric of data, r...