Invention Grant
- Patent Title: Log sourcetype inference model training for a data intake and query system
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Application No.: US16945448Application Date: 2020-07-31
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Publication No.: US11704490B2Publication Date: 2023-07-18
- Inventor: Ram Sriharsha , Zhaohui Wang , Kristal Curtis
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Knobbe Martens Olson & Bear LLP
- Main IPC: G06F40/284
- IPC: G06F40/284 ; G06N20/00 ; G06F40/242 ; G06F16/33 ; G06N5/04

Abstract:
Systems and methods are described for training an artificial intelligence model to infer a log sourcetype of a log. For example, logs may have different log sourcetypes, and logs having the same log sourcetypes may have different messagetypes. The artificial intelligence model may be a machine learning model, and can be trained using training data that includes logs with known log sourcetypes. Each log can be tokenized, filtered, converted into a vector, and applied to a machine learning model as an input to perform the training. The machine learning model may output an inferred log sourcetype, which can be compared with the known log sourcetype to update model parameters to improve the machine learning model accuracy. The trained machine learning model may be trained to infer a log sourcetype of a log regardless of the messagetype of the log.
Public/Granted literature
- US20220036002A1 LOG SOURCETYPE INFERENCE MODEL TRAINING FOR A DATA INTAKE AND QUERY SYSTEM Public/Granted day:2022-02-03
Information query