Aim/Purpose: Previous research has generally concentrated on identifying the variables that most significantly influence customer churn or used segmentation to identify a subset of potential consumers, excluding its effects forecast accuracy. Consequently, there are two primary goals in this work. The initial goal was examine impact accuracy prediction banking sector using machine learning mode...

Nowadays, customers have become more interested in the quality of service (QoS) that organizations can provide them. Services provided by different vendors are not highly distinguished which increases competition between organizations to maintain and increase their QoS. Customer Relationship Management systems are used to enable organizations to acquire new customers, establish a continuous rel...

During the last two decades, the mobile communication has become a dominant medium of communication. In numerous countries, especially the developed ones, the market is saturated to the extent that each new customer must be won over from the competitors. Advancements in technology and rapid improvements in telecom industry have provided customers with many choices. Customer retention is one of ...

The fast expansion of the market in every sector is leading to superior subscriber base for service providers. Added competitors, novel and innovative business models and enhanced services are increasing the cost of customer acquisition. In such a fast set up, service providers have realized the importance of retaining the on-hand customers. It is therefore essential for the service providers t...

Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining existing ones. Therefore, adopting accurate models that are able to predict customer churn can effectively help in customer retention campaign...

Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn prediction is necessary and valuable to retain the customers and reduce the losses. Moreover, high predictive accuracy and good interpretability of the results are two key measures of a classification model. More studies have shown that single...

This paper examines the nature of connection and churn charges that would arise in a context of network competition. Connection charges are incurred when customers initially connect to a network while churn charges are imposed on customers that disconnect. It is demonstrated that in a competitive equilibrium, the weighted sum of connection and churn charges, rather than their individual levels,...