Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining

DOI

10.2991/pecteam-18.2018.1How to use a DOI?

Keywords

Non-Synthetic, Synthetic, Privacy, Subterfuge

Abstract

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/pecteam-18.2018.1
ID  - Vigneswari2018/02
ER  -