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Machine Learning to Develop Credit Card Customer Churn Prediction
Journal of Theoretical and Applied Electronic Commerce Research, 2022 The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks to change the ...
Dana AL-Najjar +2 more
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Intelligent data analysis approaches to churn as a business problem: a survey [PDF]
, 2017 Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing ...
García Gómez, David +2 more
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Human-Centric Intelligent Systems, 2022 Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
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Customer Segmentation and Churn Prediction via Customer Metrics
2022 30th Signal Processing and Communications Applications Conference (SIU), 2022 In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Bozkan, Tunahan +3 more
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Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 more
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Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
Mathematics, 2022 The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visualize ...
Ibrahim Al-Shourbaji +4 more
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, 2019 Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer
Ahmad, Abdelrahim Kasem +2 more
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Predviđanje odljeva utjecajnih mobilnih pretplatnika korištenjem značajki niske razine [PDF]
, 2015 In the last years, customer churn prediction has been very high on the agenda of telecommunications service providers. Among customers predicted as churners, highly influential customers deserve special attention, since their churns can also trigger ...
Andrej Košir +2 more
core +2 more sources
Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn
BCP Business & Management, 2023 There is a growing tendency for more companies to develop towards a subscription business model. Under such a trend, it is important to learn about the customer churn rate within the business, learn from it and adjust business strategies accordingly.
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IEEE AccessDue to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer ...
Awais Manzoor +3 more
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