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Protecting Sensitive Association Rules in Privacy Preserving Data Mining using Genetic Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 33 - Number 7 |
| Year of Publication: 2011 |
| Authors: S.Narmadha, S.Vijayarani |
10.5120/4035-5780
|
S.Narmadha, S.Vijayarani . Protecting Sensitive Association Rules in Privacy Preserving Data Mining using Genetic Algorithms. International Journal of Computer Applications. 33, 7 ( November 2011), 36-43. DOI=10.5120/4035-5780
Abstract
Privacy and security risks taken place from the application of different data mining techniques to great organizational data storehouses have been exclusively inspected by a new research domain, the so-called privacy preserving data mining. Association rule hiding is one of the privacy preserving techniques which study the problem of hiding sensitive association rules. There are many algorithms and techniques were developed to solve this problem. In this research work, we have used genetic algorithm optimization technique for protecting sensitive association rules.
References
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