116 search results - page 9 / 24 » On the Design and Quantification of Privacy Preserving Data ... |
KDD
2007
ACM
14 years 7 months ago
2007
ACM
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...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
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...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
JCP
2007
13 years 7 months ago
2007
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...