Anonymization of Data Sets with NULL Values

Author:

Ciglic Margareta,Eder Johann,Koncilia Christian

Publisher

Springer Berlin Heidelberg

Reference33 articles.

1. Aggarwal, G., Feder, T., Kenthapadi, K., Motwani, R., Panigrahy, R., Thomas, D., Zhu, A.: Approximation algorithms for $$k$$ -anonymity. In: Proceedings of the International Conference on Database Theory, ICDT 2005 (2005)

2. Bayardo, R.J., Agrawal, R.: Data privacy through optimal $$k$$ -anonymization. In: Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, pp. 217–228 (2005)

3. Ciglic, M., Eder, J., Koncilia, C.: ANON - a flexible tool for achieving optimal $$k$$ -anonymous and $$\ell $$ -diverse tables. Technical report, University of Klagenfurt (2014). http://isys.uni-klu.ac.at/PDF/2014-ANON-Techreport.pdf

4. Lecture Notes in Computer Science;M Ciglic,2014

5. Advances in Information Security;V Ciriani,2007

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