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US Patent 12086045 Systems and methods for machine-learning based alert grouping

Patent 12086045 was granted and assigned to Splunk on September, 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
120860450
Patent Inventor Names
Thomas Camp Vieth0
William Stanton0
William Deaderick0
Date of Patent
September 10, 2024
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Patent Application Number
175898330
Date Filed
January 31, 2022
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Patent Citations
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US Patent 9286413 Presenting a service-monitoring dashboard using key performance indicators derived from machine data
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US Patent 10127258 Event time selection output techniques
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US Patent 10305758 Service monitoring interface reflecting by-service mode
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US Patent 10346851 Automated incident, problem, change correlation analysis system
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US Patent 10496900 Methods of clustering computational event logs
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US Patent 10505825 Automatic creation of related event groups for IT service monitoring
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US Patent 11099963 Alert dependency discovery
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US Patent 11210160 Computer information technology alert remediation selection based on alert similarity
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Patent Primary Examiner
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Elmira Mehrmanesh
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CPC Code
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G06F 11/3447
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G06F 11/3452
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G06F 16/244
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G06F 16/2477
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G06F 11/3082
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G06F 11/3075
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G06F 11/0781
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G06F 11/0766
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Patent abstract

A computerized method is disclosed for grouping alerts through machine learning. The method including receiving an alert to be assigned to any of a plurality of existing issues or to a newly created issue, wherein an issue is a grouping of alerts, determining a temporal distance between the alert and each of the existing issues, determining either of (i) a numerical distance between the alert and each of the existing issues for a particular numerical field, or (ii) a categorical distance between the alert and each of the existing issues for a particular categorical field, determining an overall distance between the alert and each of the existing issues, and assigning the alert to either (i) an existing issue having a shortest overall distance to the alert that satisfies one or more time constraints, or (ii) the newly created issue.

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