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US Patent 11531906 Machine-learning-based processing of de-obfuscated data for data enrichment

Patent 11531906 was granted and assigned to Oracle on December, 2022 by the United States Patent and Trademark Office.

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Patent Applicant

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Tara U. Roberts0

Jonathan Stanesby0

Karen Sutthakorn0

Kevin Yordy0

Michael Pearmain0

Date of Patent

December 20, 2022

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Patent Application Number

170621780

Date Filed

October 2, 2020

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Patent Citations

US Patent 10796228 Machine-learning-based processing of de-obfuscated data for data enrichment

US Patent 10904298 Machine-learning processing at native-location storage system to generate collections action plan

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US Patent 11321614 Directed trajectories through communication decision tree using iterative artificial intelligence

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US Patent 10044650 Dynamic customized electronic message content generation

US Patent 10089983 Third party account linking for voice user interface

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US Patent 10129157 Multiple feedback instance inter-coordination to determine optimal actions

US Patent 10423628 Bulletin board data mapping and presentation

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US Patent 10701086 Methods and systems for detecting malicious servers

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Patent Citations Received

US Patent 11775843 Directed trajectories through communication decision tree using iterative artificial intelligence

Patent Primary Examiner

Mahfuzur Rahman

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CPC Code

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Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.

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