Literature Survey of Association Rule Based Techniques for Preserving Privacy

Authors

  • Patidar V ITM, Bhilwara
  • Raghuvanshi A M.Tech (MIT, Ujjain)
  • Shrivastava V Department of Information Technology, Head of Department, ITM College, Bhilwara, Rajasthan, India

Keywords:

data mining, sensitive data, cryptography

Abstract

The paper gives an overview of privacy preserving in association rule mining techniques. In this paper, all the present privacy preserving using association rule hiding techniques are discussed. This paper also proposes a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also given, along with the coordinates of each work to the classification hierarchy.

References

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Vassilios S. Verykios, Ahmed K. Elmagarmid, Bertino Elisa, Yucel Saygin, and Dasseni Elena, Association Rule Hiding, IEEE Transactions on Knowledge and Data Engineering (2003), Accepted

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Published

2024-02-26

How to Cite

Patidar, V. K., Raghuvanshi, A., & Shrivastava, V. (2024). Literature Survey of Association Rule Based Techniques for Preserving Privacy. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(03), 59–64. Retrieved from https://ijact.in/index.php/j/article/view/13

Issue

Section

Review Article

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