Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining
Ms Vigneswari, N Komal Kumar, G.V Bharath Kumar, M Vamsi Krishna
Available Online February 2018.
- https://doi.org/10.2991/pecteam-18.2018.1How to use a DOI?
- Non-Synthetic, Synthetic, Privacy, Subterfuge
- This paper depicts the performance comparison of Non-Synthetic and Synthetic privacy preserving data perturbation algorithms. The perturbation algorithms are applied on different kinds of medical dataset which are then deployed on to the ARM(Association Rule Mining) and the experimental results are evaluated based on preserving privacy. The performance analysis is done by considering the algorithm which generates minimum lost rules and maximum Subterfuge rules that can be useful in preserving privacy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ms Vigneswari AU - N Komal Kumar AU - G.V Bharath Kumar AU - M Vamsi Krishna PY - 2018/02 DA - 2018/02 TI - Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining BT - International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018) PB - Atlantis Press SP - 1 EP - 6 SN - 2352-5401 UR - https://doi.org/10.2991/pecteam-18.2018.1 DO - https://doi.org/10.2991/pecteam-18.2018.1 ID - Vigneswari2018/02 ER -