164 search results - page 32 / 33 » On k-Anonymity and the Curse of Dimensionality |
DAWAK
2006
Springer
13 years 8 months ago
2006
Springer
The main idea of iceberg data cubing methods relies on optimization techniques for computing only the cuboids cells above certain minimum support threshold. Even using such approac...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
BIODATAMINING
2008
13 years 5 months ago
2008
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
BMCBI
2010
13 years 5 months ago
2010
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
BMCBI
2006
13 years 5 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...