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US Patent 11973653 Automatic discovery of automated digital systems through link salience

Patent 11973653 was granted and assigned to Mapped Inc. on April, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Mapped Inc.
Mapped Inc.
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Current Assignee
Mapped Inc.
Mapped Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119736530
Patent Inventor Names
Shaun Cooley0
Jason Koh0
Jose De Castro0
Date of Patent
April 30, 2024
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Patent Application Number
173722670
Date Filed
July 9, 2021
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Patent Citations
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US Patent 10044630 Systems and/or methods for remote application introspection in cloud-based integration scenarios
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US Patent 10216706 Method and computing device for facilitating data sample testing
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US Patent 10353596 Data storage system performance management
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US Patent 10540383 Automatic ontology generation
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US Patent 10699214 Automatic identification and deployment of virtual sensor models
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US Patent 10901373 Building management system with artificial intelligence for unified agent based control of building subsystems
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US Patent 10929777 Method of automating data science services
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US Patent 10997195 System and methods for user-configurable virtual appliance for advanced analytics using streaming/IoT/big data
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...
Patent Primary Examiner
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James D. Rutten
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CPC Code
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H04L 41/12
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Patent abstract

Described are platforms, systems, and methods to combine counts of activity correlations over time with a link salience method to identify collections of digital devices in an automated environment to identify sub-systems comprised of portions of the overall environment. The platforms, systems, and methods detect activity in a plurality of data sources associated with an automation environment; determine correlation in the detected activity between two or more of the data sources; store records of determined correlation in the detected activity over time in a data storage system; apply a link salience algorithm to the stored records of determined correlation in the detected activity to determine a salience property; and identify one or more subsystems in the automation environment based on the salience property.

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