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» State-of-the-art in privacy preserving data mining
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ICWS
2009
IEEE
14 years 4 months ago
Service-Oriented Architecture for Privacy-Preserving Data Mashup
Mashup is a web technology that combines information from more than one source into a single web application. This technique provides a new platform for different data providers t...
Thomas Trojer, Benjamin C. M. Fung, Patrick C. K. ...
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 1 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
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 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
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 9 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
ACSW
2007
13 years 9 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker