Invention Grant
- Patent Title: Utilizing machine learning to determine data storage pruning parameters
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Application No.: US16431092Application Date: 2019-06-04
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Publication No.: US11544217B2Publication Date: 2023-01-03
- Inventor: Amit Deshpande , Ponnazhakan Subramanian , Satish Chikkaveerappa , Asutosh Pandya , Mithra Kosur Venuraju , Sahul Mohammed
- 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: Harrity & Harrity, LLP
- Main IPC: G06F16/11
- IPC: G06F16/11 ; G06F16/28 ; G06F16/23

Abstract:
A device receives, from a user device, a request to prune a primary database, and receives primary database information associated with the primary database and secondary database information associated with a secondary database that is different than the primary database. The device processes the primary database information and the secondary database information, with a machine learning model, to generate suggested pruning parameters, and provides the suggested pruning parameters to the user device. The device receives selected pruning parameters from the user device, where the selected pruning parameters are selected from the suggested pruning parameters or are input via the user device. The device removes pruned information from the primary database based on the selected pruning parameters, and provides the pruned information to the secondary database based on the selected pruning parameters.
Public/Granted literature
- US20190317916A1 UTILIZING MACHINE LEARNING TO DETERMINE DATA STORAGE PRUNING PARAMETERS Public/Granted day:2019-10-17
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