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» Privacy Preserving Decision Tree Mining from Perturbed Data
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ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
13 years 10 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 9 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 5 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 2 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
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