Deriving Private Information from Perturbed Data using IQR Based Approach

Deriving Private Information from Perturbed Data using IQR Based Approach

Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly modifying the data values using some additive noise and aim to reconstruct the original distribution closely at an aggrega...

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書目詳細資料
Main Authors:	GUO, Songtao, WU, Xintao, LI, Yingjiu
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2006
主題:	Information Security
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/321 http://dx.doi.org/10.1109/ICDEW.2006.47
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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