Efficient k-anonymization using clustering techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4443 LNCS, Issue , 2007, Pages 188-200

  Byun, Ji Won ^a   Kamra, Ashish ^a   Bertino, Elisa ^a   Li, Ninghui ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING RESEARCH; HEURISTIC METHODS; INFORMATION ANALYSIS; PROBLEM SOLVING;

DATA MODIFICATIONS; DATA RECORDS;

CLUSTER ANALYSIS;

EID: 38049126170     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71703-4_18     Document Type: Conference Paper

References (13)

1. G. Aggarwal, T. Feder, K. Kenthapadi, R. Motwani, R. Panigrahy, D. Thomas, and A. Zhu. Anonymizing tables. In International Conference on Database Theory, pages 246-258, 2005.
2. C. C. Aggrawal and P. S. Yu. A condensation approach to privacy preserving data mining. In International Conference on Extending Database Technology, 2004.
3. R. J. Bayardo and R. Agrawal. Data privacy through optimal k-anonymization. In International Conference on Data Engineering, 2005.
4. B. C. M. Fung, K. Wang, and P. S. Yu. Top-down specialization for information and privacy preservation. In International Conference on Data Engineering, 2005.
5. Z. Huang. Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery, 2(2):283-304, 1998.
6. V. S. Iyengar. Transforming data to satisfy privacy constraints. In ACM Conference on Knowledge Discovery and Data mining, 2002.
7. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Incognito: Efficient full-domain k-anonymity. In ACM International Conference on Management of Data, 2005.
8. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Mondrian multidimensional kanonymity. In International Conference on Data Engineering, 2006.
9. A. Meyerson and R. Williams. On the complexity of optimal k-anonymity. In ACM Symposium on Principles of Database Systems, 2004.
10. C. B. S. Hettich and C. Merz. UCI repository of machine learning databases, 1998.
11. P. Samarati. Protecting respondent's privacy in microdata release. IEEE Transactions on Knowledge and Data Engineering, 13, 2001.
12. L. Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002.
13. L. Sweeney. K-anonymity: A model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 2002.