Invention Grant
- Patent Title: Systems and methods for using machine learning to manage data
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Application No.: US17567664Application Date: 2022-01-03
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Publication No.: US12079365B2Publication Date: 2024-09-03
- Inventor: William Ye , Jon Stofer , Thomas J. O'Connor , Jose Moreno
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Foley & Lardner LLP
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F18/214 ; G06F18/22 ; G06N20/00

Abstract:
In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.
Public/Granted literature
- US20230214515A1 SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO MANAGE DATA Public/Granted day:2023-07-06
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