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» Practical Issues on Privacy-Preserving Health Data Mining
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ISDA
2008
IEEE
15 years 4 months ago
Novel Algorithms for Privacy Preserving Utility Mining
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Jieh-Shan Yeh, Po-Chiang Hsu, Ming-Hsun Wen
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
15 years 4 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
14 years 11 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
DAWAK
2005
Springer
15 years 3 months ago
FMC: An Approach for Privacy Preserving OLAP
To preserve private information while providing thorough analysis is one of the significant issues in OLAP systems. One of the challenges in it is to prevent inferring the sensitiv...
Ming Hua, Shouzhi Zhang, Wei Wang 0009, Haofeng Zh...
TSMC
2011
228views more  TSMC 2011»
14 years 4 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...