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feature: k^m anonymity implementation #2

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ezelsu opened this issue Jun 26, 2020 · 0 comments

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ezelsu commented Jun 26, 2020

Feature Request

Currently, the tool ensures k-anonymity separately for every quasi-identifier, not as a combination of all. This means it has k^m-anonymity (https://link.springer.com/chapter/10.1007/978-3-319-11257-2_13) where m=1 and m cannot be changed.

m can be made configurable and de-identification execution can be changed accordingly.

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