Invention Application
- Patent Title: HORIZONTALLY-SCALABLE DATA DE-IDENTIFICATION
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Application No.: US17352217Application Date: 2021-06-18
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Publication No.: US20220343019A1Publication Date: 2022-10-27
- Inventor: David Jensen , Joseph David Jensen
- Applicant: SNOWFLAKE INC.
- Applicant Address: US MT Bozeman
- Assignee: SNOWFLAKE INC.
- Current Assignee: SNOWFLAKE INC.
- Current Assignee Address: US MT Bozeman
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/22

Abstract:
Generating an anonymized view for a data set is described. An example method can include receiving data from a data set, wherein the data is organized in a plurality of columns. The method may also include generating a plurality of generalizations of the data. The method may also further include selecting a generalization from the plurality of generalizations using an information loss scoring function based on at least a generalization information loss. Additionally, the method may also include generating an anonymized view of the data set from the selected generalization.
Public/Granted literature
- US11501021B1 Horizontally-scalable data de-identification Public/Granted day:2022-11-15
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