US Patent Issued on July 29 for "Identifying seasonal frequencies for time series data sets" (California Inventors)

ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,325, issued on July 29.

"Identifying seasonal frequencies for time series data sets" was invented by William Deaderick (San Francisco), Joseph Ari Ross (San Francisco) and Tanner Gilligan (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments are directed to facilitating identifying seasonal frequencies. In particular, a set of candidate seasonal frequencies associated with a time series data set are determined based on ACF peaks identified in association with a representation of the time series data set. Thereafter, the filters are applied to analyze the candidate seasonal frequencies and update the candidate seasonal frequencies...