The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Jun. 28, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Syed Ahsan Ishtiaque, Renton, WA (US);

Ketan Vijayvargiya, Redmond, WA (US);

Mohammed Talal Yassar Azam, Snoqualmie, WA (US);

Jill Blue Lin, Berkeley, CA (US);

Mohammed Saad Ather, Sammamish, WA (US);

Ankur Mehrotra, Seattle, WA (US);

Peter Goetz, Leinfelden-Echterdingen, DE;

Lenon Alexander Minorics, Stuttgart, DE;

Patrick Bloebaum, Mountain View, CA (US);

Dominik Janzing, Rottenburg, DE;

David Kernert, Stuttgart, DE;

Sadanand Murthy Sachidananda, Bothell, WA (US);

Shashank Srivastava, Jersey City, NJ (US);

Laurent Callot, Seattle, WA (US);

Ali Caner Turkmen, Berlin, DE;

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01);
Abstract

Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.


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