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A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest.
Shinnosuke Irie
Hirohisa Aman
Sousuke Amasaki
Tomoyuki Yokogawa
Minoru Kawahara
Published in:
WSSE (2023)
Keyphrases
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random forest
association rules
decision trees
prediction accuracy
data mining
neural network
machine learning
image segmentation
object oriented
source code
ensemble classifier