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US Patent 11055405 Anomaly event detection using frequent patterns

Patent 11055405 was granted and assigned to Splunk on July, 2021 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Splunk
Splunk
Date Filed
April 30, 2019
Date of Patent
July 6, 2021
Patent Applicant
Splunk
Splunk
Patent Application Number
16399734
Patent Citations
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US Patent 10904277 Threat intelligence system measuring network threat levels
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US Patent 10756983 Intent-based analytics
Patent Citations Received
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US Patent 12095639 Method, device and system for improving performance of point anomaly based data pattern change detection associated with network entity features in a cloud-based application acceleration as a service environment
0
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US Patent 11520792 Distributed cardinality optimization
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US Patent 11558408 Anomaly detection based on evaluation of user behavior using multi-context machine learning
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US Patent 11586729 Frequent pattern based anomaly event detection
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US Patent 12026253 Determination of likely related security incidents
0
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US Patent 12088473 Method, device and system for enhancing predictive classification of anomalous events in a cloud-based application acceleration as a service environment
0
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US Patent 11516069 Aggregate notable events in an information technology and security operations application
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US Patent 11323304 Self-learning correlation of network patterns for agile network operations
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US Patent 11373131 Automatically identifying and correcting erroneous process actions using artificial intelligence techniques
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US Patent 11438213 Enhanced management of network outages
•••
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11055405
Patent Primary Examiner
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Christopher A Revak

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