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US Patent 10592535 Data flow based feature vector clustering

Patent 10592535 was granted and assigned to Microsoft on March, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Microsoft
Microsoft
Current Assignee
Microsoft
Microsoft
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10592535
Patent Inventor Names
Jaehyuk Park0
Azadeh Nematzadeh Chekuvar0
Ian Benjamin Wood0
Michael David Conover0
Yizhi Jing0
Yong-Yeol Ahn0
Date of Patent
March 17, 2020
Patent Application Number
15229956
Date Filed
August 5, 2016
Patent Citations
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US Patent 10068032 Selective indexing to improve complex querying of online professional network data
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Patent Citations Received
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US Patent 11256759 Hierarchical graph analysis
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US Patent 11637849 Graph-based query composition
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US Patent 11677772 Using graph-based models to identify anomalies in a network environment
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US Patent 11689553 User session-based generation of logical graphs and detection of anomalies
0
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US Patent 11770464 Monitoring communications in a containerized environment
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
0
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
0
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US Patent 11792284 Using data transformations for monitoring a cloud compute environment
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Patent Primary Examiner
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Apu M Mofiz
Patent abstract

Methods and systems for generating tailored user interface presentations based on microindustry clustering. According to various embodiments, the system accesses a set of entity profiles and a set of member profiles. The system determines a set of feature vectors for each entity of the set of entity profiles and identifies a set of movement data representing changes in association of one or more members from a first entity to a second entity. The system generates an entity graph for the set of entities and the set of members. The systems generate a first set of clusters in the entity graph, a second set of clusters by partitioning one or more of the first clusters, and a set of third clusters from the set of second clusters, combining one or more of the second clusters.

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