Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)

Performance Comparison of Privacy Preserving Perturbation algorithms in Association Rule Mining

Authors
Ms Vigneswari, N Komal Kumar, G.V Bharath Kumar, M Vamsi Krishna
Corresponding Author
Ms Vigneswari
Available Online February 2018.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
Part of series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-492-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/pecteam-18.2018.1How to use a DOI?
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  -