68 search results - page 7 / 14 » Achieving Privacy Preservation when Sharing Data for Cluster... |
100
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NCA
2009
IEEE
15 years 4 months ago
2009
IEEE
—In industries such as healthcare, there is a need to electronically share privacy-sensitive data across distinct organizations. We show how this can be done while allowing organ...
90
Voted
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
76
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
ICDM
2003
IEEE
15 years 2 months 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...
171
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ICDE
2007
IEEE
15 years 11 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 ...