A Survey on Various Methodologies of Hiding Association Rules for Privacy Preserving

Data mining is the useful technology to extract information or knowledge from large database. However, misuse of this technology may lead to the disclosure of sensitive information. Privacy preserving data mining (PPDM) is new research direction for disclosure of sensitive knowledge. There are various techniques used in PPDM to hide association rules generated by association rule generation algorithms. Main goal of privacy preserving data mining is to find association rules and to hide sensitive association rules. Association rule hiding is the process of modifying original database in such way that sensitive rules are disappeared. In this paper, a survey of various approaches of association rule hiding has been described.