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» On the Privacy Preserving Properties of Random Data Perturba...
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 6 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
ICDE
2007
IEEE
143views Database» more  ICDE 2007»
14 years 7 months ago
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Feifei Li, Jimeng Sun, Spiros Papadimitriou, Georg...
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 7 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
14 years 11 days ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
PVLDB
2010
95views more  PVLDB 2010»
13 years 4 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang