Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Understanding consumer churn is pivotal for companies in the USA to develop efficient
strategies for consumer retention and reduce its negative effects on revenue and profitability …

Customer churn prediction (CCP) is among the greatest challenges faced in the
telecommunication sector. With progress in the fields of machine learning (ML) and artificial …

This study aims to present a very recent literature review on customer churn prediction
based on 40 relevant articles published between 2010 and June 2020. For searching the …

Customer Churn is a challenging and one of the most demanding issues in the telecom
sector. The primary motivation of businesses at present is just not only to acquire new …

Without proper analysis and forecasting, industries will find themselves repeatedly churning
customers, which the telecom industry in particular cannot afford. A predictable model for …

Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

This study contributes to formalize a three phase customer churn prediction technique. In the
first phase, a supervised feature selection procedure is adopted to select the most relevant …

As the market in the telecom industry becomes saturated and competition between telecom
operators heats up, preventing customer churn has become a company's top concern. It is …

In recent years, the telecom market has been very competitive. The cost of retaining existing
telecom customers is lower than attracting new customers. It is necessary for a telecom …