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» Privacy-Preserving Data Imputation
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SAC
2006
ACM
14 years 1 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
14 years 1 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
TRUSTBUS
2004
Springer
14 years 24 days ago
Privacy Preserving Data Generation for Database Application Performance Testing
Abstract. Synthetic data plays an important role in software testing. In this paper, we initiate the study of synthetic data generation models for the purpose of application softwa...
Yongge Wang, Xintao Wu, Yuliang Zheng
HASE
2008
IEEE
14 years 1 months ago
Privacy, Preservation and Performance: The 3 P's of Distributed Data Management
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
Bobji Mungamuru, Hector Garcia-Molina
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin