This paper explores the application of various machine learning techniques for predicting
customer churn in the telecommunications sector. We utilized a publicly accessible dataset …

Globalization processes and market deregulation policies are rapidly changing the
competitive environments of many economic sectors. The appearance of new competitors …

We present a comparative study on the most popular machine learning methods applied to
the challenging problem of customer churning prediction in the telecommunications industry …

Customer churn is a critical and challenging problem affecting business and industry, in
particular, the rapidly growing, highly competitive telecommunication sector. It is of …

In this paper, we present churn prediction techniques that have been released so far. Churn
prediction is used in the fields of Internet services, games, insurance, and management …

This paper explores the importance of customer in strategic marketing in the values of
customer satisfaction and loyalty. The role of customer for organizations in the 21st century …

To survive in today's telecommunication business it is imperative to distinguish customers
who are not reluctant to move toward a competitor. Therefore, customer churn prediction has …

Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …

Social network analytics methods are being used in the telecommunication industry to
predict customer churn with great success. In particular it has been shown that relational …