Publication Type : Journal Article
Publisher : Australian Journal of Basic and Applied Sciences
Source : Australian Journal of Basic and Applied Sciences,, Volume 9, Issue 20, p.220-227 (2015)
Url : http://www.ajbasweb.com/old/ajbas/2015/June/220-227.pdf
Campus : Chennai
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2015
Abstract : In recent, data mining is becoming a popular analysis tool to extract knowledge from collection of large amount of data. The protection of the confidentiality of sensitive information in a database becomes a critical issue when releasing data to outside parties. Association analysis is a powerful and popular tool for discovering relationships hidden in large data sets. These process increases the legal responsibility of the parties. So, it is severe to reliably protect their data due to legal and customer concerns. In this paper, a review of the state-of-the-art methods of data perturbation techniques for privacy preservation is presented.
Cite this Research Publication : T. Ravi and R. Prasanna Kumar, “Data Perturbation Techniques for Privacy Preservation in Association Rule Mining”, Australian Journal of Basic and Applied Sciences, vol. 9, no. 20, pp. 220-227, 2015.