A Survey on the Privacy Preserving Algorithm and techniques of Association Rule Mining
عنوان مقاله: A Survey on the Privacy Preserving Algorithm and techniques of Association Rule Mining
شناسه ملی مقاله: JR_ACSIJ-4-4_001
منتشر شده در شماره 3 دوره 4 فصل May در سال 1394
شناسه ملی مقاله: JR_ACSIJ-4-4_001
منتشر شده در شماره 3 دوره 4 فصل May در سال 1394
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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
کلمات کلیدی: Association Rule Hiding, Data Mining, Privacy Preservation Data Mining
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/405219/