1005 search results - page 117 / 201 » Privacy Preserving Clustering |
154
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CASCON
2004
15 years 7 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...
159
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MM
2005
ACM
15 years 11 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
173
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ECML
2004
Springer
15 years 11 months ago
2004
Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
280
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ICDE
2009
IEEE
16 years 7 months ago
2009
IEEE
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
297
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ICDE
2009
IEEE
16 years 7 months ago
2009
IEEE
Abstract-- Privacy protection is a major concern when microdata needs to be released for ad hoc analyses. This has led to a lot of recent research in privacy goals and table anonym...