US Patent Issued to International Business Machines on June 9 for "Identifying traits of partitioned group from imbalanced dataset" (Chinese Inventors)

ALEXANDRIA, Va., June 9 -- United States Patent no. 12,651,182, issued on June 9, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Identifying traits of partitioned group from imbalanced dataset" was invented by Jing James Xu (Xi'an, China), Xue Ying Zhang (Xi'an, China), Jing Xu (Xi'an, China), Si Er Han (Xi'an, China), Dong Hai Yu (Xi'an, China) and Xiao Ming Ma (Xi'an, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method, system and computer program product for detecting feature traits from an imbalanced dataset. A first regression model is built based on a simulated dataset to compute contribution scores for the features to make a target a positive case...