A New Privacy Preserving Association Rule Mining Algorithm Based on Hybrid Partial Hiding Strategy
By: Jian-Ming Zhu, Ning Zhang and Zhan-Yu Li
Open Access
|Dec 2013
References
- 1. Liu, L. Perturbation Based Privacy Preserving Data Mining Techniques for Real-World Data. PhD. Thesis, Unversity of Texas, Dallas, 2008.
- 2. Zhang, P. ,et al. An Effective Method for Privacy Preserving Association Rule Mining. - Journal of Software, Vol., 2006, 1764-1774.
- 3. Rizvi, S. J., J. R. Haritsa. Maintaining Data Privacy in Association Rule Mining. - In: Proceedings of the 28th International Conference on Very Large Databases, Hong Kong, China, 2002.
- 4. Zhao. C. H., L. P. Lv. Privacy Association Rules Mining-Related Technology. - In: Proceedings of the 2010 International Conference on Semiconductor Laser and Photonics, Chengdu, China, 2010.
- 5. Wang, R., J. Liu. Research of Privacy Preserving Association Rules Mining Algorithm. - Computer Engineering and Applications, Vol., 2009, 126-130.
- 6. Zheng, L. R., J. Yin. An Association Rule Mining Algorithm Privacy Preserving. - Modern Computer, Vol., 2009, 10-14.
- 7. Han, J. W., M. Kamber. Data Mining: Concepts and Techniques. Second Edition. San Francisco, Morgan Kaufmann Publishers, 2006.
- 8. Yin, Y., et al. Data Mining: Concepts, Methods and Applications in Management and Engineering Design. London, Springer, 2011.
DOI: https://doi.org/10.2478/cait-2013-0036 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Language: English
Page range: 41 - 50
Published on: Dec 31, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
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© 2013 Jian-Ming Zhu, Ning Zhang, Zhan-Yu Li, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.