Author:
Bredereck Robert,Nichterlein André,Niedermeier Rolf,Philip Geevarghese
Publisher
Springer Berlin Heidelberg
Reference24 articles.
1. Aggarwal, G., Feder, T., Kenthapadi, K., Khuller, S., Panigrahy, R., Thomas, D., Zhu, A.: Achieving anonymity via clustering. ACM Trans. Algorithms 6(3), 1–19 (2010)
2. Lecture Notes in Computer Science;G. Aggarwal,2005
3. Lecture Notes in Computer Science;J. Blocki,2010
4. Bonizzoni, P., DellaVedova, G., Dondi, R.: Anonymizing binary and small tables is hard to approximate. J. Comb. Optim. 22, 97–119 (2011)
5. Lecture Notes in Computer Science;P. Bonizzoni,2011
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