Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling

Churn prediction of mobile and online casual games using play log data

Internet-connected devices, especially mobile devices such as smartphones, have become widely accessible in the past decade. Interaction with such devices has evolved into frequent and short-duration usage, and this phenomenon has resulted in a pervasive popularity of casual games in the game sector. On the other hand, development of casual games has become easier than ever as a result of the a...

Churn Prediction in Mobile Telecom System Using Data Mining Techniques

At present situation, telecommunication department plays vital role in our day today human life. At the same time telecommunication area attains a rapid growth in very short period of years. Due to this fact, Telecom department is one of the senses deciding factor in world market. Because of this reason, this field turned out to be a most profitable area for investment. At the mean time competi...

Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE

In non-contractual freemium and sharing economy settings, a small share of users often drives the largest part of revenue for firms and co-finances the free provision of the product or service to a large number of users. Successfully retaining and upselling such high-value users can be crucial to firms’ survival. Predictions of customers’ Lifetime Value (LTV) are a much used tool to identify hi...

Customer churn prediction using improved balanced random forests

Churn prediction is becoming a major focus of banks in China who wish to retain customers by satisfying their needs under resource constraints. In churn prediction, an important yet challenging problem is the imbalance in the data distribution. In this paper, we propose a novel learning method, called improved balanced random forests (IBRF), and demonstrate its application to churn prediction. ...

Security Games with Mobile Players