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Building Useful Models from Imbalanced Data with Sampling and Boosting.
Chris Seiffert
Taghi M. Khoshgoftaar
Jason Van Hulse
Amri Napolitano
Published in:
FLAIRS Conference (2008)
Keyphrases
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imbalanced data
ensemble methods
classification models
feature selection
linear regression
ensemble learning
class distribution
model selection
sampling methods
data sets
learning algorithm
decision trees
training data
high dimensionality
minority class