A survey on privacy preserving association rule mining

Narges Jamshidian Ghalehsefidi, Mohammad Naderi Dehkordi


By developing information technology and production methods and collecting data, a great amount of data is daily being collected in commercial, medical databases. Some of this information is important with respect to competition concept in organizations and individual misuses. Nowadays in order to mine knowledge among a great amount of data, data mining tools are used. In order to protect information, fast processing and preventing from revealing private data to keep privacy is presented in data mining. In this article, some techniques in preserving privacy of association rule mining are introduced and some hiding algorithms of association rules are evaluated.


Association rule; Data mining; Data privacy; Privacy preserving

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