The Study on Rough Set Theory for Customers Churn
Dengf Hu · 2008
In order to compress or reduce redundant features in customers churn, the rough set theory is introduced and a feature reduction algorithm based on the rough set is proposed. An example in customers churn is given to validate the algorithm. The results show that when the customers churn classification result is almost invariable, the main features which are more important to the churn classification can be searched by this algorithm.