ALEXANDRIA, Va., June 25 -- United States Patent no. 12,340,317, issued on June 24, was assigned to EBAY INC (San Jose, Calif.).

"Anomaly detection for non-stationary data" was invented by Azadeh Moghtaderi (San Jose, Calif.), Gagandeep Singh Bawa (Campbell, Calif.) and David Schwarzbach (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of detecting anomalies in a time series is disclosed. A training time series corresponding to a process is extracted from an initial time series corresponding to the process, the training time series including a subset of the initial time series. Outlier data points in the training time series are modified based on predetermined acceptability criteria....