ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,513, issued on Dec. 9, was assigned to DELL PRODUCTS LP (Round Rock, Texas).
"Time series anomaly detection with rare event failure prediction" was invented by Michael Barnes (Doylestown, Pa.), Sumanta Kashyapi (Worcester, Mass.), Niharika Karia (Tewksbury, Mass.), David C. Sydow (Merrimack, N.H.) and Gajanan S Natu (Cary, N.C.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for time series anomaly detection with rare event failure prediction includes determining, by a device including a processor and using a first machine learning model, a location of a data anomaly within sequential data. The method also includes determining, by the device ...