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» Privacy in Data Mining Using Formal Methods
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ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 28 days 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...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 months ago
Inference Analysis in Privacy-Preserving Data Re-publishing
Privacy-Preserving Data Re-publishing (PPDR) deals with publishing microdata in dynamic scenarios. Due to privacy concerns, data must be disguised before being published. Research...
Guan Wang, Zutao Zhu, Wenliang Du, Zhouxuan Teng
TDP
2008
96views more  TDP 2008»
13 years 7 months ago
Constrained Microaggregation: Adding Constraints for Data Editing
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
Vicenç Torra
CADE
2005
Springer
14 years 8 months ago
Privacy-Sensitive Information Flow with JML
In today's society, people have very little control over what kinds of personal data are collected and stored by various agencies in both the private and public sectors. We de...
Guillaume Dufay, Amy P. Felty, Stan Matwin
SBBD
2003
135views Database» more  SBBD 2003»
13 years 9 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane