A Survey of Association Rule Hiding Approaches For Privacy Preservation Data Mining

Authors

  • Divya C. kalariya Research Scholar G.H. Patel College of Engineering and Technology. Vallabh Vidyanagar, India
  • Vinita Shah Asst. Prof., IT Dept. G.H. Patel College of Engineering and Technology. Vallabh Vidyanagar, India
  • Jay Vala Asst. Prof., IT Dept. G.H. Patel College of Engineering and Technology. Vallabh Vidyanagar, India

Keywords:

Association Rule Mining, Association rule hiding, Confidence, Data mining, Privacy Preservation Data Mining (PPDM), Support.

Abstract

Data mining algorithm is used to extract the useful knowledge or information from database. Privacy preservation data mining is
novel research area where data mining algorithms are analyzed for their side-effects they done on data privacy. Privacy preservation data
mining (PPDM) deals with the problem of hiding the sensitive information w hile analyzing data. Many techniques are available for PPDM
like data distortion, data hiding, rule hiding, data modification etc. Association rule hiding is one of the technique of PPDM. It hides sensitive
rules which are generated by association rule generation algorithm before releasing database. This paper discusses different approaches
of association rule hiding technique.

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Published

2022-04-27

How to Cite

Divya C. kalariya, Vinita Shah, & Jay Vala. (2022). A Survey of Association Rule Hiding Approaches For Privacy Preservation Data Mining. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/5680

Issue

Vol. 2 No. 13 (2015): NCRRET-2015 (National Conference on Recent Research in Engineering and Technology)

Section

Articles

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