ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,450,526, issued on Oct. 21, was assigned to Collibra Belgium BV (Brussels).
"Systems and methods for predicting correct or missing data and data anomalies" was invented by Kirk J. Haslbeck (Woodbine, Md.) and Brian N. Mearns (Falls Church, Va.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure is directed to systems and methods for predicting and correcting data anomalies. In one example aspect, data is received by the system. The system may analyze the data by profiling the data for certain profiling statistics (e.g., min, max, mean, cardinality, etc.). At least one machine-learning algorithm (e.g., a Random-Forest algorithm) may be ...