US Patent Issued to International Business Machines on May 13 for "Optimization of time-series anomaly detection" (Chinese Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,298,990, issued on May 13, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Optimization of time-series anomaly detection" was invented by Si Er Han (Xi'an, China), Xiao Ming Ma (Xi'an, China), Xue Ying Zhang (Xi'an, China), Jing Xu (Xi'an, China), Ji Hui Yang (Beijing) and Jun Wang (Xi'an, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "An approach to time-series data point anomaly detection may be presented. Data point anomalies in time-series data can cause a cascade of incorrect predictions in a time-series data prediction model. Presented herein may be an approach to decompose a time-series training data set into elementa...