A major concern for modern enterprises is to promote customer value, loyalty and contribution through services such as can help establish a long-term, honest relationship with customers. For purposes of better customer relationship management, data mining technology is commonly used to analyze large quantities of data about customer bargains, purchase preferences, customer churn, etc. This pape...

Numerous valuable clients can be lost to competitors in the telecommunication industry, leading profit loss. Thus, understanding reasons for client churn is vital companies. This study aimed develop a prediction model predict telecom through customer segmentation. Data were collected from three major Chinese companies, and Fisher discriminant equations logistic regression analysis used build mo...

The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of neural networks, regression trees and regression in their capabilities of predicting customer churn. Keywords—Churn, Neural Networks, Regression,...

The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of neural networks, regression trees and regression in their capabilities of predicting customer churn. Keywords—Churn, Decision Trees, Neural Netwo...

Customer churn prediction in logistics industry is one of the most prominent research topics in recent years. It consists of detecting customers who are likely to cancel a subscription to a service. Recently, logistics market has changed from a rapidly growing market into a state of saturation and fierce competition. The focus of the logistic companies has therefore shifted from building a larg...

Vodafone, an International mobile telecommunications company, has accumulated vast amounts of data on consumer mobile phone behavior in a data warehouse. The magnitude of this data is so huge that manual analysis of data is not feasible. However, this data holds valuable information that can be applied for operational and strategical purposes. Therefore, in order to extract such information fro...

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. Recently rule-based classification methods designed transparently interpreting the classification results are preferable in customer churn prediction. However ...