US Patent Issued to Amazon Technologies on May 13 for "Skip learning for multivariate anomaly detection on streaming data" (Washington Inventor)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,298,840, issued on May 13, was assigned to Amazon Technologies Inc. (Seattle).

"Skip learning for multivariate anomaly detection on streaming data" was invented by Rajeev Rai Bhatia (Lynnwood, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are described for detecting anomalies within time series data using one or more online machine learning models. In one example, time series data may be obtained that spans a moving time period of a set length, to be used as training data. A machine learning model may be trained using the training data to identify anomalies in the time series data by upon detecting an estimation of an anomalou...