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US Patent 11893010 Data model selection and application based on data sources

Patent 11893010 was granted and assigned to Splunk on February, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Splunk
Splunk
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Current Assignee
Splunk
Splunk
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118930100
Patent Inventor Names
Stephen Phillip Sorkin0
Marc Vincent Robichaud0
Archana Sulochana Ganapathi0
Alice Emily Neels0
Steve Yu Zhang0
Date of Patent
February 6, 2024
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Patent Application Number
177347860
Date Filed
May 2, 2022
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Patent Citations
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US Patent 8031634 System and method for managing a virtual domain environment to enable root cause and impact analysis
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US Patent 7076482 Multi-part looked-up table fields and its use in data processing operations involving multiple tables of a relational database
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US Patent 7529642 Method for evaluating the quality of data collection in a manufacturing environment
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US Patent 7562069 Query disambiguation
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US Patent 7640496 Method and apparatus for generating report views
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US Patent 7937344 Machine data web
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US Patent 8707194 System and method for decentralized performance monitoring of host systems
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US Patent 8713000 Method and system for leveraging the power of one's social-network in an online marketplace
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Patent Primary Examiner
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Phong H Nguyen
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CPC Code
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G06F 16/9535
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G06F 16/248
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G06F 16/2425
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G06F 40/186
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G06F 16/27
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G06F 3/0482
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G06F 16/245
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G06F 16/24575
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Patent abstract

Embodiments include generating data models that may give semantic meaning for unstructured or structured data that may include data generated and/or received by search engines, including a time series engine. A method includes generating a data model for data stored in a repository. Generating the data model includes generating an initial query string, executing the initial query string on the data, generating an initial result set based on the initial query string being executed on the data, determining one or more candidate fields from one or results of the initial result set, generating a candidate data model based on the one or more candidate fields, iteratively modifying the candidate data model until the candidate data model models the data, and using the candidate data model as the data model.

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