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:
Jun. 13, 2023

Filed:

Jan. 29, 2021
Applicant:

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

Inventors:

Ramkumar Chandrasekharan, Saratoga, CA (US);

William Deaderick, Austin, TX (US);

Lila Fridley, San Francisco, CA (US);

Ramprasad Siva Golla, San Jose, CA (US);

Shailendra Suryawanshi, San Ramon, CA (US);

Assignee:

SPLUNK INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06N 20/00 (2019.01); G06F 3/0482 (2013.01); G06F 3/0486 (2013.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0482 (2013.01); G06F 3/0486 (2013.01); G06F 16/285 (2019.01);
Abstract

Systems and methods are described for training a machine learning (ML) model to group notable events reflecting operation of a computing system into episodes of related events reflecting an incident on the computing system, such as to enable root cause analysis of the incident. The ML model is trained using pairwise binary similarity labels (PBSLs) indicating that two events must or must not be grouped together. An interface is provided that facilitates rapid generating of PBSLs by relocating one or more events from a first episode to a second episode. The relocation input is translated into PBSLs that are then used to train the ML model.


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