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Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data.
Yuxuan Yang
Hadi Akbarzadeh Khorshidi
Uwe Aickelin
Published in:
IJCCI (2022)
Keyphrases
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imbalanced data
sampling methods
random sampling
sampling algorithm
class distribution
feature selection
linear regression
imbalanced datasets
decision trees
minority class
data sets
machine learning
support vector machine
sample size
ensemble methods