Syntactic Anonymisation of Shared Datasets in Resource Constrained Environments-Reference-Cited by-同舟云学术

Syntactic Anonymisation of Shared Datasets in Resource Constrained Environments

Published:2018 Issue: Volume: Page:27-60
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Kayem Anne V. D. M.,Vester C. T.,Meinel Christoph

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-58384-5_2

Reference50 articles.

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3. Aggarwal, C.C., Yu, P.S.: Privacy-Preserving Data Mining: Models and Algorithms, 1st edn. Springer Publishing Company Incorporated, New York (2008). https://doi.org/10.1007/978-0-387-70992-5

4. Aytug, H., Koehler, G.J.: New stopping criterion for genetic algorithms. Eur. J. Oper. Res. 126(3), 662–674 (2000)

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

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