A survey on privacy preserving association rule mining
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ACSIJ-4-2_005
تاریخ نمایه سازی: 7 آذر 1394
Abstract:
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
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Authors
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