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

The customer churn prediction (CCP) is one of the challenging problems in the telecom
industry. With the advancement in the field of machine learning and artificial intelligence, the …

Customer churn prediction in telecommunication industry is a very essential factor to be
achieved and it makes direct impact to customer retention and its revenues. Developing a …

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 …

The widespread availability of cell phones has enabled non-profits to deliver critical health
information to their beneficiaries in a timely manner. This paper describes our work to assist …

This paper examines churn prediction of customers in the banking sector using a unique
customer-level dataset from a large Brazilian bank. Our main contribution is in exploring this …

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 …

In the digital era, innovations in business intelligence are critical to staying competitive and
popular across the growing business trends. Businesses have begun to investigate the next …

Customer retention is a major challenge in several business sectors and diverse companies
identify the customer churn prediction (CCP) as an important process for retaining the …