Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.
Théo VerhelstOlivier CaelenJean-Christophe DewitteBertrand LebichotGianluca BontempiPublished in: BNAIC/BENELEARN (Selected Papers) (2019)
Keyphrases
- customer churn
- churn prediction
- causal inference
- prediction model
- machine learning
- data mining
- random forest
- rule induction
- additive noise
- machine learning methods
- credit risk
- customer relationship management
- causal models
- nonmonotonic reasoning
- learning algorithm
- prediction accuracy
- natural language processing
- decision trees
- discrete data
- text classification
- abductive reasoning
- information extraction
- regression model
- rare events
- neural network
- natural language
- feature extraction
- text mining
- knowledge discovery
- feature vectors
- association rules