Gene Expression Programming Based Dataset Decoration for Improved Churn Prediction

@inproceedings{Visoiu2013GeneEP,
  title={Gene Expression Programming Based Dataset Decoration for Improved Churn Prediction},
  author={Adrian Visoiu and Silvia Trif},
  year={2013}
}
Mobile network operators rely on business intelligence tools to derive valuable information regarding their subscribers. A key objective is to reduce churn rate among subscribers. The mobile operator needs to know in advance which subscribers are at risk of becoming churners. This problem is solved with classification algorithms having as input data derived… CONTINUE READING