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. 04, 2025

Filed:

Jan. 24, 2022
Applicant:

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

Inventors:

Abraham Starosta, Miami, FL (US);

Francis Beckert, Mountain View, CA (US);

Chandrima Sarkar, Dublin, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 16/23 (2019.01); G06N 20/00 (2019.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 11/0751 (2013.01); G06F 11/0781 (2013.01); G06F 16/2365 (2019.01); G06N 20/00 (2019.01); G06F 11/076 (2013.01); G06F 11/079 (2013.01); G06F 11/0793 (2013.01); G06F 11/3058 (2013.01); G06F 11/3447 (2013.01);
Abstract

A computerized method is disclosed for automated handling of data ingestion anomalies. The method features operations of detecting a data ingestion anomaly and determining a cause for the data ingestion anomaly. The causal determination may be conducted by at least (i) determining features of an anomalous data ingestion volume, (ii) training a second data model, after a first data model being used to detect the data ingestion anomaly, with data sets consistent with the determined features, (iii) applying the second data model to predict whether a data ingestion sub-volume is anomalous, (iv) obtaining system state information during ingestion of the anomalous data ingestion sub-volume, and (v) determining the cause of the anomalous data ingestion volume based on the system state information.


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