US Patent Issued to International Business Machines on March 11 for "Detecting temporal anomalous data using dependency modeling" (Chinese Inventors)

ALEXANDRIA, Va., March 12 -- United States Patent no. 12,248,457, issued on March 11, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Detecting temporal anomalous data using dependency modeling" was invented by Hao Xiang Wu (Beijing), Rong Zhao (Beijing), Zhe Yan (Beijing), Li Li Guan (Beijing) and Li Bo Zhang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The e...