US Patent Issued to Seeq on Feb. 18 for "Multivariate time-series search and classification learning methods and systems" (Colorado, California, Texas Inventors)

ALEXANDRIA, Va., Feb. 19 -- United States Patent no. 12,229,164, issued on Feb. 18, was assigned to Seeq Corp. (Seattle).

"Multivariate time-series search and classification learning methods and systems" was invented by Brian Parsonnet (Fort Collins, Colo.), Joseph R. DiSantis (Houston) and Aswin N. Venkat (Belmont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for processing multivariate, time-series data to classify portions of the data corresponding to an identified event or condition. Time periods of interest may be identified as search criteria for a variety of purposes. As an example, an event or condition may occur, whereby, precursors to the event or condition may be present in the t...