公开(公告)号：US10909468B2

公开(公告)日：2021-02-02

申请号：US14634515

申请日：2015-02-27

Applicant: Oath Inc.

Inventor： Makoto Yamada ,  Chao Qin ,  Hua Ouyang ,  Achint Thomas ,  Yi Chang

IPC: G06F21/55 ,  G06N20/00

Abstract: In one embodiment, a set of training data consisting of inliers may be obtained. A supervised classification model may be trained using the set of training data to identify outliers. The supervised classification model may be applied to generate an anomaly score for a data point. It may be determined whether the data point is an outlier based, at least in part, upon the anomaly score.