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US Patent 10346851 Automated incident, problem, change correlation analysis system

Patent 10346851 was granted and assigned to Numerify on July, 2019 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Numerify
Numerify
1
Current Assignee
Numerify
Numerify
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
103468511
Patent Inventor Names
Gaurav Rewari1
Rahul Kapoor1
Date of Patent
July 9, 2019
1
Patent Application Number
152021131
Date Filed
July 5, 2016
1
Patent Citations Received
‌
US Patent 12066915 Systems and methods for retraining machine-learning models to perform alert grouping
2
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US Patent 12086045 Systems and methods for machine-learning based alert grouping
3
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US Patent 12079100 Systems and methods for machine-learning based alert grouping and providing remediation recommendations
4
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US Patent 10685359 Identifying clusters for service management operations
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US Patent 11605010 Computer incident scoring
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US Patent 11327826 System, method, and computer program for automated resolution of free-text incidents, based on machine learning
Patent Primary Examiner
‌
Mark D Featherstone
1
Patent abstract

Approaches for automatically determining of correlation for incident, problem and change items. Approaches may perform the steps of: (i) automatically extracting relevant information that includes any of (a) a time of occurrence, (b) important keywords, (c) a category, or sub-category classification, (d) related configuration items, (e) a group membership of the user who worked on, and (f) outage records associated with the incident, problem, and change items; and (ii) automatically analyzing persisted correlation maps using the essence key phrases associated with the incidents to identify essence key phrases of contributing problems, and changes; and (iii) automatically clustering the incidents, optionally with (A) the problems, and (B) the changes to identify clusters of related incident, problem and change items based on the relevant information associated with the incident, problem, and change items.

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