The credit card customer churn rate is the percentage of a bank's customers that stop using
that bank's services. Hence, develo** a prediction model to predict the expected status for …

Abstract Aim/Purpose Previous research has generally concentrated on identifying the
variables that most significantly influence customer churn or has used customer …

For every retail bank, the control over risks that originate from customer fluctuations is of
great importance. These fluctuations can occur in the number of active customers or their …

in the financial system such as the banking sector, customers are valuable, and losing them
is very expensive as customer churn is a major challenge facing banks. In this paper, we …

Presently, the move towards a more complex and multidisciplinary system development is
increasingly important in order to understand and strengthen engineering approaches for …

The classification of churn is driven by the potential risks e-commerce companies face, such
as losing customers who discontinue their service usage or churn. Marketing specialists …

The development of technology in our modern day has led to the generation of huge data.
This is evident by the 2.5 quintillions of data generated by persons connected to the Internet …

In banking industry, customer churn prediction plays important role in business success due
to the fact that the cost of attracting new customers is much more than that of retaining ones …

There are many purchases in the digital banking platform occurred daily. The electronic
banking contains various transactions with different purchase behavior. Customer attrition …

The term 'mechatronics' refers to a pivotal interface between mechanics and electronics. It is
fundamentally a synergistic approach to engineering, where the traditional differences …