Customer churn prediction for telecommunication industry: A Malaysian Case Study [version 1; peer review: 2 approved] [PDF]
F1000Research, 2021 Background: Customer churn is a term that refers to the rate at which customers leave the business. Churn could be due to various factors, including switching to a competitor, cancelling their subscription because of poor customer service, or ...
Nurulhuda Mustafa +2 more
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Advanced customer churn prediction for a music streaming digital marketing service using attention graph-based deep learning approach [PDF]
Scientific ReportsCustomer churn poses a persistent threat to the sustainability of music streaming platforms, where user disengagement often occurs unpredictably. Most existing churn prediction methods fail to integrate relational dependencies among users or address the ...
Haiyan Cheng, Jie He
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Churn prediction of mobile and online casual games using play log data. [PDF]
PLoS ONE, 2017 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
Seungwook Kim +3 more
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Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis [PDF]
Scientific ReportsAcquiring consumers is a challenge in the telecom industry since it reduces profits and slows growth. Customer churn prediction remains a pivotal challenge for telecommunications companies seeking to retain subscribers and sustain profitability in highly
Pankaj Hooda +4 more
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction [PDF]
Scientific ReportsEmployee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success.
Hagar G. Abu-Faty +3 more
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Connection Science, 2022 Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue of customer churn was faced by the telecommunication industry.
R. Sudharsan, E. N. Ganesh
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The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications
Informatica, 2022 One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected machine learning methods are applied to the publicly available datasets, partially reproducing the results of ...
Andrej Bugajev +3 more
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A Survey on Churn Analysis in Various Business Domains
IEEE Access, 2020 In this paper, we present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management.
Jaehyun Ahn +4 more
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Journal of Information and Organizational Sciences, 2022 No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
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Telecom Churn Prediction Using Voting Classifier Ensemble Method and Supervised Machine Learning Techniques [PDF]
ITM Web of Conferences, 2023 In the current fast-paced world, there are a lot of changes and developments in the telecom sector, due to which the telecom companies find themselves in difficulties in retaining the customers who have availed of their services.
Pandithurai O. +3 more
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