AI Based Approach of Predicting the Credit Limits of Users to Middle Customer based Mobile Communication Services

Abstract

Most of the developing countries even, mobile communication has become a matter of course for many people. As markets saturate, the care and retention of existing customers becomes a key element for revenue stabilization for mobile communication network operators. We present a predictive data mining model to reduce the rate of forced churn as a consequence of non-payment: estimations of subscribers' open amounts if being payers or non-payers allow to prevent subscribers from overspending-and ultimately churning-thus prolonging the customer relationship dwell time and securing future revenues, and hence necessary prediction system would be a great benefit to the mobile communication service providers (SP)