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ICDE
2005
IEEE
118views Database» more  ICDE 2005»
13 years 11 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
ETRICS
2006
13 years 1 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang
HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
13 years 4 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
GRC
2007
IEEE
12 years 9 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative ļ¬ltering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
13 years 3 months ago
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 m...
Songtao Guo, Xintao Wu, Yingjiu Li
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