A new customer churn prediction approach based on soft set ensemble pruning

• Main Authors: Mohd Khalid, Awang, Mohd Nordin, Abdul Rahman, Mokhairi, Makhtar, Mustafa, Mat Deris
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.unisza.edu.my/1689/1/FH03-FIK-17-08102.jpg; http://eprints.unisza.edu.my/1689/

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....