ALEXANDRIA, Va., June 5 -- United States Patent no. 12,278,832, issued on April 15, was assigned to Snap Inc. (Santa Monica, Calif.).
"Detecting anomalous resources and events in social data using a trained anomaly detector" was invented by Neil Shah (Los Angeles).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, devices, media and methods are presented for detecting anomalous resources and events in social data. The systems and methods receive a plurality of events associated with a plurality of resources, wherein the plurality of events includes a plurality of features. The systems and methods detect a set of anomalous resources from the plurality of resources and identify a set of anomalous events as...