ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,368, issued on April 14, was assigned to Capital One Services LLC (McLean, Va.).
"Anomaly detection data workflow for time series data" was invented by Vannia Gonzalez Macias (Glen Allen, Va.), Scott Garcia (Washington) and Peter Terrana (Mechanicsville, Va.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems are described herein for improving anomaly detection in timeseries datasets. Different machine learning models may be trained to process specific types of timeseries data efficiently and accurately. Thus, selecting a proper machine learning model for identifying anomalies in a specific set of timeseries data may greatly improve ...