Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 1
Page No. 188 - 194

A Combined Approach for Privacy Preserving Classification Mining

Authors : Naga Prasanthi Kundeti and M.V.P. Chandra Sekhara Rao

References

Agarwal, C.C., 2007. On randomization, public information and the curse of dimensionality. Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering, April 15-20, 2007, IEEE, Istanbul, Turkey, ISBN:1-4244-0802-4, pp: 136-145.

Aggarwal, C.C. and S.Y. Philip, 2008. A General Survey of Privacy-Preserving Data Mining Models and Algorithms. In: Privacy-Preserving Data Mining, Aggarwal, C.C. and P.S. Yu (Eds.). Springer, Boston, Massachusetts, ISBN:978-0-387-70991-8, pp: 11-52.

Aggarwal, C.C., 2015. Data Mining: The Textbook. Springer, Berlin, Germany, ISBN:978-3-31914141-1, Pages: 733.

Bertino, E., D. Lin and W. Jiang, 2008. A Survey of Quantification of Privacypreserving Data Mining Algorithms. In: Privacy-Preserving Data Mining, Aggarwal, C.C. and P.S. Yu (Eds.). Springer, Boston, Massachusetts, ISBN:978-0-387-70991-8, pp: 183-205.

Chen, K. and L. Liu, 2011. Geometric data perturbation for privacy preserving outsourced data mining. Knowl. Inf. Syst., 29: 657-695.
CrossRef  |  Direct Link  |  

Langheinrich, M., 2009. Privacy in Ubiquitous Computing. In: Ubiquitous Computing Fundamentals, Krumm, J. (Ed.). CRC Press, Boca Raton, Florida, USA., ISBN:9781420093605, pp: 95-159.

Liu, K., H. Kargupta and J. Ryan, 2006. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining. IEEE Trans. Knowl. Data Eng., 18: 92-106.
CrossRef  |  

Oliveria, S.R.M. and O.R. Zaiane, 2004. Data perturbation by rotation for privacypreserving clustering. MCS Thesis, University of Alberta, Alberta, Canadian.

Samarati, P., 2001. Protecting respondents indentities in microdata release. IEEE. Trans. Knowl. Data Eng., 13: 1010-1027.
CrossRef  |  Direct Link  |  

Sweeney, L., 2002. Achieving K-anonymity privacy protection using generalization and suppression. Intl. J. Uncertainty Fuzziness Knowl. Based Syst., 10: 571-588.
Direct Link  |  

Westin, A.F., 1968. Privacy and freedom. J. Washington Lee Law Rev., 25: 166-170.
Direct Link  |  

Xueyun, L., Z. Yan and P. Zhang, 2014. A review on privacy-preserving data mining. Proceedings of the 2014 IEEE International Conference on Computer and Information Technology, September 11-13, 2014, IEEE, Xi'an, China, ISBN: 978-1-4799-6239-6, pp: 769-774.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved