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. 15, 2022

Filed:

Jun. 08, 2017
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Ramprasad Rai, Palo Alto, CA (US);

Timo Hoyer, South San Francisco, CA (US);

Dirk Wodtke, Aptos, CA (US);

Ramshankar Venkatasubramanian, Santa Clara, CA (US);

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 5/02 (2006.01); G06Q 10/08 (2012.01); G06F 21/57 (2013.01); G06Q 10/10 (2012.01); G06Q 50/06 (2012.01); G06F 21/55 (2013.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 21/552 (2013.01); G06F 21/577 (2013.01); G06N 20/10 (2019.01); G06Q 10/083 (2013.01); G06Q 10/087 (2013.01); G06Q 10/10 (2013.01); G06Q 50/06 (2013.01); G06F 3/0484 (2013.01); G06N 5/022 (2013.01);
Abstract

The disclosure generally describes methods, software, and systems, including a method for machine learning anomaly detection for a set of assets. Assets are analyzed using anomaly-detection analysis and a set of anomaly-detection rules. Each asset is associated with correlated records comprising characteristics of the particular asset and characteristic of non-asset-specific signals. Each anomaly-detection rule is associated with conditions determined to be indicative of a potential anomaly. At least a subset of the assets are provided for presentation in a user interface. Each asset is identified as being in a potential anomalous or non-anomalous state based on the anomaly-detection analysis. Input is received from a user identifying at least one asset as anomalous as a non-anomalous asset. Based on the received input, at least one anomaly-detection rule is modified that was applied to identify the asset as anomalous. The modified rule is stored for future analyses.


Find Patent Forward Citations

Loading…