Invention Application
- Patent Title: Field Extraction Rules from Clustered Data Samples
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Application No.: US15143563Application Date: 2016-04-30
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Publication No.: US20170286525A1Publication Date: 2017-10-05
- Inventor: Li Li , Gang Tao , Yongxin Su , Junqing Hao , Ting Wang , John Robert Coates , Elias Haddad , Guodong Wang
- Applicant: Splunk Inc.
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F3/0484

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.
Public/Granted literature
- US11216491B2 Field extraction rules from clustered data samples Public/Granted day:2022-01-04
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