In the telecom sector, a huge volume of data is being generated on a daily basis due to a
vast client base. Decision makers and business analysts emphasized that attaining new …

Customer churn prediction in Telecom Industry is a core research topic in recent years. A
huge amount of data is generated in Telecom Industry every minute. On the other hand …

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 …

Customer churn is a challenging problem that can lead to a loss of organizational assets.
Organizations need to predict customer churn successfully in order to get rid of potential …

Customer buying behavior is identified by people's personality and character. These
personality characters vary from person to person. The character includes quality …

Customer churn analysis and prediction in telecom sector is an issue now a days because
it's very important for telecommunication industries to analyze behaviors of various customer …

Customer churn has been considered as one of the key issues in the operations of the
corporate business sector, as it influences the turnover directly. In particular, the telecom …

A big problem that encounters businesses, especially telecommunications business
iscustomer churn'this occurs when a customer decides to leave a company's landline …

Data mining is an evolving technology that aims to extract information from very large data to
generate useful knowledge. Lots of datasets provided online can be beneficial in the context …

Customers' behaviors such as tendencies, loyalty status, satisfaction criteria show an
alteration day by day due to the changing world. So, these behavior changes should be …