Efficient k-Anonymization Using Clustering Techniques-Reference-Cited by-同舟云学术

Efficient k-Anonymization Using Clustering Techniques

Published:2007 Issue: Volume: Page:188-200
ISSN:0302-9743
Container-title:Advances in Databases: Concepts, Systems and Applications
language:
Short-container-title:

Author:

Byun Ji-Won,Kamra Ashish,Bertino Elisa,Li Ninghui

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-71703-4_18

Reference13 articles.

1. Lecture Notes in Computer Science;G. Aggarwal,2004

2. Aggrawal, C.C., Yu, P.S.: A condensation approach to privacy preserving data mining. In: International Conference on Extending Database Technology (2004)

3. Bayardo, R.J., Agrawal, R.: Data privacy through optimal k-anonymization. In: International Conference on Data Engineering (2005)

4. Fung, B.C.M., Wang, K., Yu, P.S.: Top-down specialization for information and privacy preservation. In: International Conference on Data Engineering (2005)

5. Huang, Z.: Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery 2(2), 283–304 (1998)

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