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Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010] - anonymize a relational dataset to achieve LKC-privacy

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PAIS

Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010]

License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License

Owners: Noman Mohammed and Benjamin C. M. Fung

Publications:

N. Mohammed, B. C. M. Fung, P. C. K. Hung, and C. Lee. Centralized and distributed anonymization for high-dimensional healthcare data. ACM Transactions on Knowledge Discovery from Data (TKDD), 4(4):18:1-18:33, October 2010. ACM Press.

N. Mohammed, B. C. M. Fung, P. C. K. Hung, and C. Lee. Anonymizing healthcare data: a case study on the blood transfusion service. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 1285-1294, Paris, France: ACM Press, June 2009. [best student paper award]

Disclaimer:

The software is provided as-is with no warranty or support. We do not take any responsibility for any damage, loss of income, or any problems you might experience from using our software. If you have questions, you are encouraged to consult the paper and the source code. If you find our software useful, please cite our paper above.

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Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010] - anonymize a relational dataset to achieve LKC-privacy

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