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» Privacy Preserving Decision Tree Mining from Perturbed Data
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WPES
2003
ACM
13 years 10 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
13 years 10 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
13 years 11 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
SAC
2006
ACM
13 years 10 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
PAKDD
2007
ACM
140views Data Mining» more  PAKDD 2007»
13 years 11 months ago
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
Zhouxuan Teng, Wenliang Du