ALEXANDRIA, Va., July 16 -- United States Patent no. 12,360,978, issued on July 15, was assigned to FUJITSU Ltd. (Kawasaki, Japan).

"Data type based aggregation of multiple linked tables for machine learning tasks" was invented by Wing Yee Au (Saratoga, Calif.) and Kanji Uchino (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In an embodiment, relational data that includes a parent table and a set of linked tables associated with the parent table is received. Thereafter, a set of operations is executed. The set of operations comprises selecting a linked table and determining a data type that is associated with each column. The set of operations further comprises determining a set of transf...