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Customer Churn Prediction in B2B Contexts
, 2019 While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist +3 more
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Customer churn prediction for web browsers [PDF]
Expert Systems with Applications, 2022 In the competitive web browser market, identifying potential churners is critical to decreasing the loss of existing customers. Churn prediction based on customer behaviors plays a vital role in customer retention strategies.
Xing Wu 0001 +5 more
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Customer churn prediction in the telecommunication sector using a rough set approach
Neurocomputing, 2017 Customer churn is a critical and challenging problem affecting business and industry, in particular, the rapidly growing, highly competitive telecommunication sector. It is of substantial interest to both academic researchers and industrial practitioners,
Adnan Amin, Sajid Anwar, Awais Adnan
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A Customer Churn Prediction Model in Telecom Industry Using Boosting
IEEE Transactions on Industrial Informatics, 2014 With the rapid growth of digital systems and associated information technologies, there is an emerging trend in the global economy to build digital customer relationship management (CRM) systems.
Guangquan Zhang
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Predict Churning Customers – An Explorative Study
2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022Some banks and business managers are facing the problem of customer credit card attrition. Therefore, it was necessary to identify new strategies for banks and business managers to keep their customers satisfied. In this paper, we analyze the data from a fictitious data source available on Kaggle, to find out the reason behind this and to predict ...
Ferreira, Tomás +2 more
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Customer Churn Prediction [PDF]
, 2020 Churned customers identification plays an essential role for the functioning and growth of any business. Identification of churned customers can help the business to know the reasons for the churn and they can plan their market strategies accordingly to enhance the growth of a business. This research is aimed at developing a machine learning model that
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Customer churn prediction in telecommunication
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015At recent years, estimating the churners before they leave has gained importance in environment of increased competition in company strategy. In this paper, churners are tried to detect by using data mining classification techniques. Attribute reductions are tried for decreasing the runtime and increasing achievement of models and performance was ...
Mumin Yildiz, Songul Albayrak
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Customer Churn Prediction for Telecom Services
2012 IEEE 36th Annual Computer Software and Applications Conference, 2012Customer churn is a big concern for telecom service providers due to its associated costs. This short paper briefly explains our ongoing work on customer churn prediction for telecom services. We are working on data mining methods to accurately predict customers who will change and turn to another provider for the same or similar service.
Utku Yabas +2 more
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Customer Churn Prediction in Virtual Worlds
2015 IIAI 4th International Congress on Advanced Applied Informatics, 2015With the emerging of social network websites, more and more social network online games are booming. Players have more alternatives of VWs games, while platform providers suffer from the problems of high customer turnover rate and low-customer-loyalty.
Hsiu-Yu Liao +3 more
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TreeLogit Model for Customer Churn Prediction
2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006For the purpose of improving the predictive accuracy and interpret ability of churn prediction model, TreeLogit model, which integrates the advantage of AD tree model and logistic regression model, is proposed in this paper to predict customers' churn propensities.
Jiayin Qi +3 more
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