Churn prediction in telecom using the customer churn warning
2012 7th International Conference on System of Systems Engineering (SoSE), 2012openaire +1 more source
Early churn prediction with personalized targeting in mobile social games
Expert Systems With Applications, 2017exaly
Data Science Approaches for Churn Prediction
2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)openaire +1 more source
Behavioral attributes and financial churn prediction [PDF]
EPJ Data Science, 2018 Customer retention is crucial in a variety of businesses as acquiring new customers is often more costly than keeping the current ones. As a consequence, churn prediction has attracted great attention from both the business and academic worlds ...
Erdem Kaya +5 more
doaj +8 more sources
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PDF]
PeerJ Computer Science, 2022 Mobile communication has become a dominant medium of communication over the past two decades. New technologies and competitors are emerging rapidly and churn prediction has become a great concern for telecom companies.
Syed Fakhar Bilal +4 more
doaj +3 more sources
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
doaj +2 more sources
CUSTOMER CHURN PREDICTION [PDF]
International Journal for Research in Engineering Application & ManagementOur work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar +3 more
core +8 more sources
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
IEEE Access, 2021 In the telco industry, attracting new customers is no longer a good strategy since the cost of retaining existing customers is much lower. Churn management becomes instrumental in the telco industry.
Shuli Wu +3 more
doaj +2 more sources
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
doaj +2 more sources
Churn prediction on huge telecom data using hybrid firefly based classification
Egyptian Informatics Journal, 2017 Churn prediction in telecom has become a major requirement due to the increase in the number of telecom providers. However due to the hugeness, sparsity and imbalanced nature of the data, churn prediction in telecom has always been a complex task.
Ammar A.Q. Ahmed, D. Maheswari
doaj +3 more sources