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:
Jul. 09, 2024

Filed:

Jul. 27, 2022
Applicant:

Splunk Inc., San Francisco, CA (US);

Inventor:

Ram Sriharsha, Oakland, CA (US);

Assignee:

Splunk Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2458 (2019.01); G06F 9/38 (2018.01); G06F 9/54 (2006.01); G06F 16/14 (2019.01); G06F 16/16 (2019.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 16/242 (2019.01); G06F 16/2453 (2019.01); G06F 16/2455 (2019.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 16/901 (2019.01); G06F 9/3885 (2013.01); G06F 9/544 (2013.01); G06F 16/144 (2019.01); G06F 16/156 (2019.01); G06F 16/168 (2019.01); G06F 16/2246 (2019.01); G06F 16/23 (2019.01); G06F 16/2379 (2019.01); G06F 16/242 (2019.01); G06F 16/24534 (2019.01); G06F 16/24568 (2019.01); G06F 16/2465 (2019.01); G06F 16/285 (2019.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06F 18/2148 (2023.01); G06F 18/2185 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06F 16/22 (2019.01); G06F 16/2264 (2019.01); G06F 16/2282 (2019.01);
Abstract

Systems and methods are described for processing ingested data, detecting anomalies in the ingested data, and providing explanations of a possible cause of the detected anomalies as the data is being ingested. For example, a token or field in the ingested data may have an anomalous value. Tokens or fields from another portion of the ingested data can be extracted and analyzed to determine whether there is any correlation between the values of the extracted tokens or fields and the anomalous token or field having an anomalous value. If a correlation is detected, this information can be surfaced to a user.


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