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A novel modified undersampling (MUS) technique for software defect prediction.
P. Lingden
Abeer Alsadoon
P. W. C. Prasad
Omar Hisham Alsadoon
Rasha Subhi Ali
Vinh Tran Quoc Nguyen
Published in:
Comput. Intell. (2019)
Keyphrases
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software defect prediction
class imbalance
software defect
ensemble learning
active learning
class distribution
imbalanced data
cost sensitive
concept drift
feature ranking
sample selection bias
feature selection
sampling methods
support vector machine
high dimensionality
cost sensitive learning