Pattern-Guided k-Anonymity
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-38756-2_35
Reference22 articles.
1. Lecture Notes in Computer Science;J. Blocki,2010
2. Bonizzoni, P., Della Vedova, G., Dondi, R.: Anonymizing binary and small tables is hard to approximate. Journal of Combinatorial Optimization 22(1), 97–119 (2011)
3. Bonizzoni, P., Della Vedova, G., Dondi, R., Pirola, Y.: Parameterized complexity of k-anonymity: hardness and tractability. Journal of Combinatorial Optimization (2011)
4. Lecture Notes in Computer Science;R. Bredereck,2011
5. Bredereck, R., Nichterlein, A., Niedermeier, R., Philip, G.: The effect of homogeneity on the computational complexity of combinatorial data anonymization. In: Data Mining and Knowledge Discovery (2012)
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