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...

Customer churn prediction models aim to detect customers with a high propensity to attrite. Predictive accuracy, comprehensibility, and justifiability are three key aspects of a churn prediction model. An accurate model permits to correctly target future churners in a retention marketing campaign, while a comprehensible and intuitive rule-set allows to identify the main drivers for customers to...

With the onset of social media and news aggregators on the Web, the newspaper industry is faced with a declining subscriber base. In order to retain customers both on-line and in print, it is therefore critical to predict and mitigate customer churn. Newspapers typically have heterogeneous sources of valuable data: circulation data, customer subscription information, news content, and search cl...

Customer is the heart and soul of any organization. The era of globalization and cut throat competition has changed the basic concept of marketing, now marketing is not confined to selling the products to the customers, but the objective is to reach to the hearts of the customers so that they feel belongingness towards the organizations and hence should remain the loyal customers. In the dynami...

Churn prediction is an important task for Customer Relationship Management (CRM) in telecommunication companies. Accurate churn prediction helps CRM in planning effective strategies to retain their valuable customers. However, churn prediction is a complex and challenging task. In this paper, a hybrid churn prediction model is proposed based on combining two approaches; Neighborhood Cleaning Ru...

Customer churn is a grave problem for all mobile operators. Early identification of customers from the risk group could help retain them in the operator's network. This paper introduces a set of potential churn factors on which data can be relatively easily extracted from the operator’s databases and analyzed using the SAS® Enterprise Guide®. A multi-stage research procedure utilizing such real...

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 defection is critically important since it leads to serious business loss. Therefore, investigating methods to identify defecting customers (i.e. churners) has become a priority for telecommunication operators. In this paper, a churn prediction framework is proposed aiming at enhancing the ability to forecast customer churn. The framework combine two heuristic approaches: Self Organizi...