Intellectual Property India Publishes Patent Application for Optimization Of Time-Series Anomaly Detection

MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202617076167 A) filed by International Business Machines on June 19, 2026, for Optimization Of Time-Series Anomaly Detection.

Inventors include Han, Si Er; Ma, Xiao Ming; Zhang, Xue Ying Number; Xu, Jing; Yang, Ji Hui; and Wang, Jun.

The application for the patent was published on July 10, 2026, under issue no. 28/2026.

Abstract: 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 elementary components, such as seasona...