A Survey on the Privacy Preserving Algorithm and techniques of Association Rule Mining
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ACSIJ-4-4_001
تاریخ نمایه سازی: 7 آذر 1394
Abstract:
In recent years, data mining is a popular analysis tool to extract knowledge from collection of large amount of data. One of the great challenges of data mining is finding hidden patternswithout revealing sensitive information. Privacy preservation data mining (PPDM) is answer to such challenges. It is a majorresearch area for protecting sensitive data or knowledge while data mining techniques can still be applied efficiently.Association rule hiding is one of the techniques of PPDMto protect the association rules generated by association rule mining. In this paper, we provide a survey of associationrule hiding methods for privacy preservation. Various algorithms have been designed for it in recent years. In thispaper, we summarize them and survey current existingtechniques for association rule hiding
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Authors
Maryam Fouladfar
Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Isfahan, Iran
Mohammad Naderi Dehkordi
Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Isfahan, Iran