77 search results - page 4 / 16 » On the Anonymization of Sparse High-Dimensional Data |
VLDB
2005
ACM
14 years 6 days ago
2005
ACM
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
ICCS
2003
Springer
13 years 12 months ago
2003
Springer
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
DMIN
2009
13 years 4 months ago
2009
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
JMLR
2008
13 years 6 months ago
2008
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
ITCC
2005
IEEE
14 years 9 days ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...