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

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 …

Customer Relationship Management (CRM) has been an im-portant ally to companies
willing to improve their customer experiences. Lately, Machine Learning (ML) and its …

In this study, we explore the possible factors affecting churn in the Danish
telecommunication industry and how those factors connect with retention strategies. The …

Purpose The purpose of the proposed model is to assist the e-business to predict the
churned users using machine learning. This paper aims to monitor the customer behavior …

Purpose The purpose of this paper is to propose a new methodology that handles the issue
of the dynamic behavior of customers over time. Design/methodology/approach A new …

Data mining techniques were used to investigate the use of knowledge extraction in
predicting customer churn in insurance companies. Data were included from a health …

Purpose Customer churn prediction is one of the most well-known approaches to manage
and improve customer retention. Machine learning techniques, especially classification …

Purpose The purpose of this paper is to develop a prediction model to study the factors
affecting the academic performance of students pursuing an undergraduate professional …

The present study proposes a Customer Behavior Mining Framework on the basis of data
mining techniques in a telecom company. This framework takes into account the customers' …