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:
Jan. 04, 2022

Filed:

Apr. 30, 2016
Applicant:

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

Inventors:

Li Li, Shanghai, CN;

Gang Tao, Shanghai, CN;

Yongxin Su, Shanghai, CN;

Junqing Hao, Nanjing, CN;

Ting Wang, Shanghai, CN;

John Robert Coates, Berkeley, CA (US);

Elias Haddad, San Francisco, CA (US);

Guodong Wang, Shanghai, CN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/28 (2019.01); G06F 16/2458 (2019.01);
U.S. Cl.
CPC ...
G06F 16/287 (2019.01); G06F 16/2477 (2019.01); G06N 20/00 (2019.01);
Abstract

The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.


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