公开(公告)号：US20230153311A1

公开(公告)日：2023-05-18

申请号：US18053738

申请日：2022-11-08

Applicant: Google LLC

Inventor： Xi Cheng ,  Zichuan Ye ,  Peng Lin ,  Jiashang Liu ,  Amir Hormati ,  Mingge Deng

IPC: G06F16/2458 ,  G06F16/215 ,  G06F16/25

CPC classification number: G06F16/2462 ,  G06F16/215 ,  G06F16/256

Abstract: A method for anomaly detection includes receiving an anomaly detection query from a user. The anomaly detection query requests data processing hardware determine one or more anomalies in a dataset including a plurality of examples. Each example in the plurality of examples is associated with one or more features. The method includes training a model using the dataset. The trained model is configured to use a local outlier factor (LOF) algorithm. For each respective example of the plurality of examples in the dataset, the method includes determining, using the trained model, a respective local deviation score based on the one or more features. The method includes determining that the respective local deviation score satisfies a deviation score threshold and, based on the location deviation score satisfying the threshold, determining that the respective example is anomalous. The method includes reporting the respective anomalous example to the user.