1005 search results - page 120 / 201 » Privacy Preserving Clustering |
111
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DEXA
2007
Springer
16 years 4 days ago
2007
Springer
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
252
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ICDE
2007
IEEE
16 years 7 months ago
2007
IEEE
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much...
150
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CCGRID
2008
IEEE
16 years 13 days ago
2008
IEEE
Most existing Grid technology has been foremost designed with performance and scalability in mind. When using Grid infrastructure for medical applications, privacy and security co...
160
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WWW
2010
ACM
15 years 6 months ago
2010
ACM
We study the problem of anonymizing user profiles so that user privacy is sufficiently protected while the anonymized profiles are still effective in enabling personalized web sea...
149
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VISSYM
2004
15 years 7 months ago
2004
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...