公开(公告)号：US12099515B1

公开(公告)日：2024-09-24

申请号：US17488771

申请日：2021-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Mohammed Talal Yassar Azam ,  Mohammad Adnan ,  Ahmed Gamal Hamed ,  Fnu Syed Furqhan Ulla ,  Shekhar Agrawal ,  Ketan Vijayvargiya

IPC: G06F16/25 ,  G06F16/2458

CPC classification number: G06F16/258 ,  G06F16/2477

Abstract: Systems and methods are described for to detecting anomalies in various forms of data, including non-time series data. In one example, a data ingestion interval for customer data may be determined, where the data ingestion interval specifies a frequency at which data is analyzed to detect analogies in portions of the data corresponding to time windows. A portion of the customer data may then be obtained and aggregated from a data source according to the data ingestion interval. The portion of data may be converted into time series data by appending a time stamp corresponding to the time window of the portion of the data. The anomaly detection service may then process the time series data, using a time series data anomaly model, to detect one or more anomalies in the time series data.

公开(公告)号：US11940983B1

公开(公告)日：2024-03-26

申请号：US17491486

申请日：2021-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Mohammad Adnan ,  Mohammed Talal Yassar Azam ,  Aditya Bahuguna ,  Fnu Syed Furqhan Ulla ,  Devesh Ratho ,  Ankita Verma ,  Ankur Mehrotra

IPC: G06F16/23 ,  G06N20/20

CPC classification number: G06F16/2365 ,  G06N20/20

Abstract: A service to provide anomaly detection receives a request to back-test the service. The request includes information for accessing a dataset of historical data. The service executes workflows to ingest the data, train a plurality of machine learning models to perform anomaly detection, and detect anomalies in the dataset. A representation of the detect anomalies is generated and presented to a user. The service receives an indication to activate the service to provide ongoing anomaly detection services.