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Under-sampling class imbalanced datasets by combining clustering analysis and instance selection.
Chih-Fong Tsai
Wei-Chao Lin
Ya-Han Hu
Guan-Ting Yao
Published in:
Inf. Sci. (2019)
Keyphrases
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imbalanced datasets
cost sensitive learning
class distribution
class imbalance
sampling methods
ensemble methods
decision trees
imbalanced data
training dataset
class labels
minority class
text classification
neural network
nearest neighbor
active learning
clustering algorithm
data mining