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Volume & Issue no: Volume 3, Issue 12, December 2014

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Title:
A Survey on the Privacy Preserving Algorithm of Association Rule Hiding
Author Name:
MohammadReza Lorestani and Eynollah Khanjari
Abstract:
ABSTRACT Following the ever-increasingly pace ofgrowth of the Internet, data storage devices, and data processing technologies, privacy preserving has emerged as one of the paramount issues in data mining. The issue has been widely studied given increase of sensitive data on the Internet. People are growingly expressing concerns about their privacy and personal information. To deal with this new demand, privacy preserving data mining (PPDM) has become increasingly popular because it allows sharing of privacy data for analysis purposes. However, there is a natural tradeoff between privacy and accuracy, though this tradeoff is affected by the particular algorithm which is used for privacy preservation. Association rule miningis oneofthe most widely useddata miningtechniques thus this paper focuses on privacy preserving algorithms of association rulesmining. Keywords: privacy preserving data mining (PPDM), association rule hiding, hiding failure, loss of non-sensitive rules, ghost rules
Cite this article:
MohammadReza Lorestani and Eynollah Khanjari , " A Survey on the Privacy Preserving Algorithm of Association Rule Hiding" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 12, December 2014 , pp. 309-314 , ISSN 2319 - 4847.
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