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» State-of-the-art in privacy preserving data mining
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SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 8 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
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 1 months ago
Privacy-Preserving Frequent Pattern Mining across Private Databases
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 7 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
PAKDD
2005
ACM
115views Data Mining» more  PAKDD 2005»
14 years 29 days ago
Performance Measurements for Privacy Preserving Data Mining
Abstract. This paper establishes the foundation for the performance measurements of privacy preserving data mining techniques. The performance is measured in terms of the accuracy ...
Nan Zhang 0004, Wei Zhao, Jianer Chen
TSMC
2011
228views more  TSMC 2011»
13 years 2 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...