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Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines.
Sebastián Maldonado
Richard Weber
Fazel Famili
Published in:
Inf. Sci. (2014)
Keyphrases
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feature selection
high dimensional
imbalanced data sets
high dimensionality
dimensionality reduction
feature set
feature space
text categorization
class imbalance
data points
nearest neighbor
data sets
support vector
benchmark data sets
model selection
naive bayes
feature extraction
machine learning