618 search results - page 64 / 124 » Aggregated Subset Mining |
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
WAIM
2009
Springer
15 years 6 months ago
2009
Springer
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...