Hybrid microdata using microaggregation

Author:

Domingo-Ferrer Josep,González-Nicolás Úrsula

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference31 articles.

1. C.C. Aggarwal, P.S. Yu, A condensation approach to privacy-preserving data mining, in: E. Bertino, S. Christodoulakis, D. Plexousakis, V. Christophides, M. Koubarakis, K. Böhm, E. Ferrari (Eds.), Advances in Database Technology – EDBT 2004, Lecture Notes in Computer Science, vol. 2992, Berlin Heidelberg, 2004, pp. 183–199.

2. R. Brand, J. Domingo-Ferrer, J.M. Mateo-Sanz, Reference data sets to test and compare SDC methods for protection of numerical microdata, European Project IST-2000-25069 CASC, 2002. .

3. Information preserving statistical obfuscation;Burridge;Statistics and Computing,2003

4. Sensitive micro data protection using latin hypercube sampling technique;Dandekar,2002

5. LHS-based hybrid microdata vs rank swapping and microaggregation for numeric microdata protection;Dandekar,2002

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