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US Patent 9946800 Ranking related objects using blink model based relation strength determinations

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9946800
Date of Patent
April 17, 2018
Patent Application Number
14791789
Date Filed
July 6, 2015
Patent Citations Received
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US Patent 12130878 Deduplication of monitored communications data in a cloud environment
3
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
4
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
5
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
6
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US Patent 11677772 Using graph-based models to identify anomalies in a network environment
7
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US Patent 11689553 User session-based generation of logical graphs and detection of anomalies
8
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US Patent 11770464 Monitoring communications in a containerized environment
‌
US Patent 11792284 Using data transformations for monitoring a cloud compute environment
...
Patent Primary Examiner
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Greta L. Robinson
Patent abstract

Mechanisms are provided for performing a cognitive operation. An input graph is received having a plurality of first nodes, where subsets of first nodes are coupled to one another via first edges and each first edge has an associated weight. A blinking graph model is generated based on the graph, where blink rates are associated with second edges and are calculated based on weights of corresponding first edges in the input graph. The blink rate specifies a fraction of time a corresponding second edge is determined to be present in the blinking graph model. A relatedness metric is calculated for a target node relative to a node of interest based on the blink rates of the second edges. The relatedness metric indicates a degree of relatedness of the target node to the node of interest. A cognitive operation is then performed based on the relatedness metric.

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