Paper Details

In recent years, explosive growth of the amount ofdata gathered by transactional systems, a challenge forfinding new techniques to extract useful patterns from sucha huge amount of data arose. As the database is growing dayby day the organizations which maintain this database areworried about the importance of such huge transaction database.One of the greatest challenging tasks of data mining is findinghidden patterns without revealing sensitive information. Privacypreserving data mining (PPDM) is the recent research area thatdeals with the problem of hiding the sensitive information whileanalyzing data. PPDM algorithms are evolved for modifying theoriginal data in such that the no sensitive information is revealedeven after mining procedure. Association rule hiding is one of theprivacy preservation techniques to hide sensitive associationrules. All association rule hiding algorithms focus to minimallymodify the original database such that no sensitive associationrule is derived from it. This paper contains the comprehensivesurvey of privacy preserving data mining methods. Advantagesand disadvantages of the existing algorithms are discussed inbrief.

Bindiya Sagpariya, Kruti Khalpada, “A Survey on Association Rule Hiding Approaches”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 14, pp. -, January 2015.