Privacy Preservation for Association Rule Mining

Authors

  • Mrudula Jyothi NS Department of CSE, Sanketika Vidya Parishad Engineering College, Andhra University, Andhra Pradesh, India
  • Kumar AS Department of CSE, Sanketika Vidya Parishad Engineering College, Andhra University, Andhra Pradesh, India

DOI:

https://doi.org/10.26438/ijcse/v6i12.711

Keywords:

Data mining, Association rule mining, Support, Confidence

Abstract

Data mining is the process of extracting hidden patterns of data. Association rule mining is an important data mining task that finds an interesting association among a large set of a data item. Association rule hiding is one of the techniques of privacy-preserving data mining to protect the association rules generated by association rule mining. In this paper, proposed a new data distortion technique for hiding sensitive association rules. Algorithms based on this technique either hide a specific rule using data alteration technique or hide the rules depending on the sensitivity of the items to be hidden. The proposed technique uses the idea of representative rules to prune the rules first and then hides the sensitive rules.

References

S.Kasthuri and T.Meyyappan, " Detection of Sensitive Items in Market Basket Database using Association Rule Mining for Privacy Preserving", In the Proceeding of 2015, international conference on Pattern Recognition, Informatics adn Mobile Engineering, Feb 21-22, pp.200-203, 2015.

S. Choudhary and A. Upadhyay, " Hiding Sensitive Data Item Using Association Rule Mining", International Journal of Engineering Sciences & Management, Vol.6, Issue.1,pp.13-21, 2016.

D.C. Kalariya, V.Shah and J.Vala, " Association Rule Hiding based on Heuristic Approach by Deleting Item at R.H.S side of Sensitive Rule", International Journal of Computere Application, Vol.122, No 8, pp.25-28, 2015.

P.Madhave, M.Mane adn S. Patil," Data mining using Association rule based on APPIORI algorithm and improved approach with illustration", International Journal of Latest Trends in Engineering and Technology,Vol.3, Issue.2, pp.107-113, 2013.

M.Shridhar, M. Parmar,"Survey on Association Rule Mining and Its Approaches", International Journal of Computer Science and Engineering, Vol.5, Issue.3, pp.129-135, 2017.

R. Solanki, “Principle of Data Mining”, McGraw-Hill Publication, India, pp. 386-398, 1998.

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Published

2018-12-31
CITATION
DOI: 10.26438/ijcse/v6i12.711
Published: 2018-12-31

How to Cite

[1]
N. S. M. Jyothi and A. S. Kumar, “Privacy Preservation for Association Rule Mining”, Int. J. Comp. Sci. Eng., vol. 6, no. 12, pp. 7–11, Dec. 2018.

Issue

Vol. 6 No. 12 (2018): IJCSE December Editor

Section

Research Article

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