359 search results - page 5 / 72 » A Clustering Approach for Achieving Data Privacy |
EDBT
2008
ACM
14 years 7 months ago
2008
ACM
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
IDA
2011
Springer
13 years 1 months ago
2011
Springer
Abstract. The goal of this article is to introduce a collaborative clustering approach to the domain of ubiquitous knowledge discovery. This clustering approach is suitable in peer...
IEEECIT
2006
IEEE
14 years 1 months ago
2006
IEEE
K-anonymisation, as an approach to protecting data privacy, has received much recent attention from the database research community. Given a single table, there can be many ways t...
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...
ISSRE
2010
IEEE
13 years 5 months ago
2010
IEEE
—Database-centric applications (DCAs) are common in enterprise computing, and they use nontrivial databases. Testing of DCAs is increasingly outsourced to test centers in order t...