A survey on privacy preserving association rule mining

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 580

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شناسه ملی سند علمی:

JR_ACSIJ-4-2_005

تاریخ نمایه سازی: 7 آذر 1394

چکیده مقاله:

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 thisinformation is important with respect to competition concept in organizations and individual misuses. Nowadays in order to mineknowledge 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 ispresented 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

نویسندگان

Narges Jamshidian Ghalehsefidi

Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Mohammad Naderi Dehkordi

Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran