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- W2607341129 abstract "Data sharing is critical due to the possibility of privacy breaches. In contrast, it is very important to design and implement public-spirited policies to expedite effective services and development (e.g., public health care). This research proposes a randomization algorithm for data sanitization that satisfies $$epsilon $$ -differential privacy to publish privacy preserving data. The proposed algorithm has been implemented, and tested with two different data sets. The obtained results show that the proposed algorithm has promising performance compared to other existing works." @default.
- W2607341129 created "2017-04-28" @default.
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- W2607341129 date "2017-01-01" @default.
- W2607341129 modified "2023-09-23" @default.
- W2607341129 title "An Improved Data Sanitization Algorithm for Privacy Preserving Medical Data Publishing" @default.
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- W2607341129 doi "https://doi.org/10.1007/978-3-319-57351-9_8" @default.
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