US Patent Issued to BUSINESS OBJECTS SOFTWARE on Nov. 11 for "Multiple machine learning model anomaly detection framework" (Irish Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,738, issued on Nov. 11, was assigned to BUSINESS OBJECTS SOFTWARE LTD (Dublin).

"Multiple machine learning model anomaly detection framework" was invented by Paul O'Hara (Dublin), Ying Wu (Maynooth, Ireland) and Malte Christian Kaufmann (Dublin).

According to the abstract* released by the U.S. Patent & Trademark Office: "Anomalies may be detected using a multiple machine learning model anomaly detection framework. A clustering model is trained using an unsupervised machine learning algorithm on a historical anomaly dataset. A plurality of clusters of records are determined by applying the historical anomaly dataset to the clustering model. Then it is determined whether each clust...