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US Patent 11714698 System and method for machine-learning based alert prioritization

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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
117146980
Date of Patent
August 1, 2023
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Patent Application Number
175878770
Date Filed
January 28, 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 10261851 Anomaly detection using circumstance-specific detectors
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US Patent 10484257 Network event automatic remediation service
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US Patent 10713321 Efficient identification of anomalies in periodically collected data
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US Patent 11595334 Training and using machine learning models to place targeted messages in software applications
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US Patent 11586826 Managing and measuring semantic coverage in knowledge discovery processes
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US Patent 7937344 Machine data web
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Patent Primary Examiner
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Chae M Ko
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CPC Code
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G06F 11/0769
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A computerized method is disclosed for generating a prioritized listing of alerts based on scoring by a machine learning model and retraining the model based on user feedback. Operations of the method include receiving a plurality of alerts, generating a score for each of the plurality of alerts through evaluation of each of the plurality of alerts by a machine learning model, generating a prioritized listing of the plurality of alerts based on the generated scores, receiving user feedback on the prioritized listing, retraining the machine learning model based on the user feedback by generating a set of labeled alert pairs, wherein a labeled alert pair includes a first alert, a second alert, and an indication as to which of the first alert or the second alert is a higher priority in accordance with the user feedback, and evaluating subsequently received alerts with the retrained machine learning model.

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