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:
Feb. 09, 2021

Filed:

May. 05, 2017
Applicant:

Servicenow, Inc., Santa Clara, CA (US);

Inventors:

James Crotinger, Kirkland, WA (US);

Scott Tucker, Kirkland, WA (US);

Chinna Babu Polinati, Snoqualmie, WA (US);

Assignee:

ServiceNow, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/24 (2019.01); H04L 29/06 (2006.01); G06F 16/248 (2019.01); G06F 16/28 (2019.01); G06F 16/2458 (2019.01); G06F 11/34 (2006.01); G06K 9/62 (2006.01); G06F 17/18 (2006.01); G06F 11/30 (2006.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 11/3452 (2013.01); G06F 16/248 (2019.01); G06F 16/2477 (2019.01); G06F 16/285 (2019.01); G06F 17/18 (2013.01); G06K 9/6284 (2013.01); G06F 11/3006 (2013.01); H04L 63/1433 (2013.01);
Abstract

An anomaly detection module may include a time-series analyzer that classifies current time-series data into at least one of a plurality of classifications based upon historical data and may construct a statistical model representative of the current time-series data based upon the at least one of the plurality of classifications. An anomaly detector monitors a stream of the current time-series data and identifies statistical outliers of the stream of the current time-series data, based upon the statistical model and may determine an anomalous score for the statistical outliers by tracking a history of the statistical outliers; wherein the anomalous score comprises a representation of a magnitude of deviation between the current time-series data and the statistical model over multiple measurements of the current time-series data, over a particular time interval, or both.


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