Invention Grant
- Patent Title: Horizontally-scalable data de-identification
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Application No.: US17352218Application Date: 2021-06-18
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Publication No.: US11755778B2Publication Date: 2023-09-12
- 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
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/22 ; G06F16/28

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
- US20220343012A1 HORIZONTALLY-SCALABLE DATA DE-IDENTIFICATION Public/Granted day:2022-10-27
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