2302 search results - page 7 / 461 » Privacy-preserving Distributed Clustering using Generative M... |
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
ICDE
2007
IEEE
14 years 8 months ago
2007
IEEE
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
ICDM
2003
IEEE
14 years 19 days ago
2003
IEEE
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
CASCON
2004
13 years 8 months ago
2004
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...