Local and global recoding methods for anonymizing set-valued data

Author:

Terrovitis Manolis,Mamoulis Nikos,Kalnis Panos

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Reference32 articles.

1. Aggarwal, C.C.: On k-anonymity and the curse of dimensionality. In: VLDB ’05: Proceedings of the 31st International Conference on Very Large Data Bases, pp. 901–909. VLDB Endowment (2005)

2. Aggarwal, G., Feder, T., Kenthapadi, K., Khuller, S., Panigrahy, R. Thomas, D., Zhu, A.: Achieving anonymity via clustering. In: Proceedings of ACM PODS, pp. 153–162 (2006)

3. Aggarwal, G., Feder, T., Kenthapadi, K., Motwani, R., Panigrahy, R., Thomas, D., Zhu, A.: Approximation algorithms for k-anonymity. J. Priv. Tech. (Paper number:20051120001) (2005)

4. Atzori, M., Bonchi, F., Giannotti, F., Pedreschi, D.: Anonymity preserving pattern discovery. VLDB J. (accepted for publication) (2008)

5. Bayardo, R.J., Agrawal, R.: Data privacy through optimal k-anonymization. In: Proceedings of ICDE, pp 217–228 (2005)

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