Customer Churn Prediction Based on Feature Clustering and Nonparallel Support Vector Machine.
Xi ZhaoYong ShiJongwon LeeHeung Kee KimHeeseok LeePublished in: Int. J. Inf. Technol. Decis. Mak. (2014)
Keyphrases
- customer churn
- support vector machine
- churn prediction
- prediction model
- feature vectors
- clustering algorithm
- prediction accuracy
- clustering method
- k means
- data points
- data clustering
- cluster analysis
- multi class
- feature set
- feature selection
- credit risk
- feature space
- machine learning
- outlier detection
- anomaly detection
- rule induction
- knn