US Patent Issued to Fair Isaac on Jan. 20 for "Synthetic data generation for machine learning models" (California Inventors)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,530,600, issued on Jan. 20, was assigned to Fair Isaac Corp. (Minneapolis).

"Synthetic data generation for machine learning models" was invented by Scott Michael Zoldi (San Diego) and Shafi Ur Rahman (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method may include generating synthetic data based on input data and training a machine learning model based on the synthetic data. The synthetic data may be generated by determining a plurality of data points representing an archetype probability distribution of a plurality of archetypes, clustering the plurality of data points into one or more clusters associated with transactional behavior patte...