Customer churn is a complex challenge for burgeoning competitive organizations,
especially in telecommunication. It refers to customers that swiftly leave a company for a …

This work surveys the research contributions of the last decade to the prediction of customer
churn and adds a perspective toward what is yet to be reached. The main objective of this …

Customer predictive analytics has shown great potential for effective churn models. Thriving
in today's telecommunications industry, discerning between consumers who are likely to …

In today's time, customer churn is one of the major issues in many large-scale industries.
Because it has a direct impact on the company's revenue, it is necessary to find a solution to …

In the competitive telecommunications industry, understanding and predicting customer
churn-customers discontinuing service-is crucial for revenue and subscriber retention …

Customer churn in a bank impacts its profit, costs, and reputation. Retaining consumers is
also less expensive and more profitable than acquiring new ones. In order to retain a …

Customer churn prediction is of utmost importance in the telecommunications industry.
Retaining customers through effective churn prevention strategies proves to be more cost …

Abstract Most research about Machine Learning (ML) models for churn prediction has
focused on sectors like telecommunications, while this problem can be particularly …

In today's business landscape, companies are facing significant difficulties in achieving
positive client interactions and maintaining customers' satisfaction. As a result, businesses …

Alzheimer's disease is a kind of dementia which leads in progressive loss of memory usually
in elderly persons. Since there is not any cure for this condition it is vital to discover it as …