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Sampling method based on improved C4.5 decision tree and its application in prediction of telecom customer churn.
Weibin Deng
Linsen Deng
Jin Liu
Jie Qi
Published in:
Int. J. Inf. Technol. Manag. (2019)
Keyphrases
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churn prediction
customer churn
decision trees
prediction model
random forest
rule induction
data mining
credit risk
customer relationship management
regression model
logistic regression
prediction accuracy
machine learning
web services
decision table
ensemble methods
decision rules
naive bayes
genetic programming