Customer Churn is the term refers to the customers who are in threat to leave the company. Growing number of such customers are becoming critical for the telecommunication sector and the telecom sector are also in a situation to retain them to avoid the revenue loss. Prediction of such behaviour is very essential for the telecom sector and Classifiers proved to be the effective one for the same...

Customer churn prediction in logistics industry is one of the most prominent research topics in recent years. It consists of detecting customers who are likely to cancel a subscription to a service. Recently, logistics market has changed from a rapidly growing market into a state of saturation and fierce competition. The focus of the logistic companies has therefore shifted from building a larg...

In a very competitive mobile telecommunication business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this paper fo...

In every industry, customers are crucial. Customer churn can have a variety of effects and negative influence on sales. Analysis forecasting customer turnover must be key component any business. We will analyze forecast in the telecom industry our study. The study consumer behavior is crucial for telecommunications sector order to identify those who most likely cancel their subscriptions. Becau...

The telecommunication industry faces fierce competition to retain customers, and therefore requires an efficient churn prediction model to monitor the customer’s churn. Enormous size, high dimensionality and imbalanced nature of telecommunication datasets are main hurdles in attaining the desired performance for churn prediction. In this study, we investigate the significance of a Particle Swar...

In the competitive web browser market, identifying potential churners is critical to decreasing loss of existing customers. Churn prediction based on customer behaviors plays a vital role in retention strategies. However, traditional churn algorithms such as Tree-based models cannot exploit temporal characteristics customers behaviors, while sequence explicitly extract information between multi...

Churn rate refers to the proportion of contractual customers who leave a supplier during a given time period. This phenomenon is very common in highly competitive markets such as telecommunications industry. In a statistical setting, churn can be considered as an outcome of some characteristics and past behavior of customers. In this paper, churn prediction is performed considering a real datas...