68 search results - page 2 / 14 » Achieving Privacy Preservation when Sharing Data for Cluster... |
KES
2008
Springer
13 years 3 months ago
2008
Springer
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
KDD
2007
ACM
14 years 5 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...
PAISI
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
IAJIT
2010
13 years 3 months ago
2010
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
VLDB
2006
ACM
14 years 5 months ago
2006
ACM
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...