Abstract Customer Churn Prediction (CCP) is a challenging activity for decision makers and
machine learning community because most of the time, churn and non-churn customers …

Customer churn prediction has gathered greater interest in business especially in
telecommunications industries. Many authors have presented different versions of the churn …

Abstract Cross-Company Churn Prediction (CCCP) is a domain of research where one
company (target) is lacking enough data and can use data from another company (source) …

The success of retention campaigns in fast-moving and saturated markets, such as the
telecommunication industry, often depends on accurately predicting potential churners …

Telecom operators allocate a significant amount of resources to retain their customers as the
organic growth in the number of customers is slowing down. Gamified loyalty programs …

Churn prediction is a Big Data domain, one of the most demanding use cases of recent time.
It is also one of the most critical indicators of a healthy and growing business, irrespective of …

With the rising growth of the telecommunication industry, the customer churn problem has
grown in significance as well. One of the most critical challenges in the data and voice …

Due to the exponential growth in technologies and a greater number of competitors in the
telecom sector, the companies are facing a rigorous problem of customer churns. The …

Social networks have been shown to enhance player experience in online games and to be
important for the players, who often build complex communities. In online and mobile …

Churn Analysis is one of the world wide used analysis on Subscription Oriented Industries to
analyze customer behaviors to predict the customers which are about to leave the service …