US Patent Issued to Google on July 14 for "Machine learning time series anomaly detection" (Washington, California Inventors)

ALEXANDRIA, Va., July 14 -- United States Patent no. 12,682,047, issued on July 14, was assigned to Google LLC (Mountain View, Calif.).

"Machine learning time series anomaly detection" was invented by Jiashang Liu (Kirkland, Wash.), Xi Cheng (Kirkland, Wash.), Amir Hormati (Mountain View, Calif.) and Weijie Shen (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes receiving a time series anomaly detection query from a user and training one or more models using a set of time series data values. For each respective time series data value in the set, the method includes determining, using the trained models, an expected data value for the respective time series data value and ...