Maximum Entropy Oriented Anonymization Algorithm for Privacy Preserving Data Mining

Author:

Tsiafoulis Stergios G.,Zorkadis Vasilios C.,Pimenidis Elias

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. Wickramasinghe Nilmini, B.R.K., Chris, G.M., Jonathan, S.: Realizing the Knowledge Spiral in Healthcare: the role of Data Mining and Knowledge Management. The International Council on Medical & Care Compunetics, 147–162 (2008)

2. Dalenius, T.: Finding a Needle In a Haystack or Identifying Anonymous Census Records. Journal of Official Statistics 2(3), 329–336 (1986)

3. Sweeney, L.: k-anonymity: a model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 10(5), 557–570 (2002)

4. Sweeney, L., Samarati, P.: Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. In: IEEE Symposium on Research in Security and Privacy (1998)

5. Meyerson, A., Williams, R.: General k-Anonymization is Hard. In: PODS 2004 (2003)

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