A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning

• Main Authors: Awang, Prof. Madya Ts. Dr. Mohd Khalid, Abdul Rahman, Prof. Dr. Mohd Nordin, Mat Deris, Mohd Sufian, Makhtar, Prof. Ts. Dr. Mokhairi
• Format: Book Section
• Language: English; English
• Published: Springer International Publishing 2016
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.unisza.edu.my/3335/1/FH05-FIK-17-07718.pdf; http://eprints.unisza.edu.my/3335/2/FH05-FIK-17-07720.pdf; http://eprints.unisza.edu.my/3335/

Accurate customer churn prediction is vital in any business organization due to higher cost involved in getting new customers. In telecommunication businesses, companies have used various types of single classifiers to classify customer churn, but the classification accuracy is still relatively low....