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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Customer churn prediction using composite deep learning technique [PDF]
Scientific Reports, 2023 Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers.
Asad Khattak +5 more
doaj +2 more sources
Machine learning based customer churn prediction in home appliance rental business [PDF]
Journal of Big Data, 2023 Customer churn is a major issue for large enterprises. In particular, in the rental business sector, companies are looking for ways to retain their customers because they are their main source of revenue.
Youngjung Suh
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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study [PDF]
The Scientific World Journal, 2015 Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining
Ali Rodan +4 more
doaj +2 more sources
Customer Churn Analysis: Analyzing Customer Churn Determinants on an ISP Company in Indonesia
Buletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah, 2021 The growth of Internet Service Providers (ISP) in Indonesia, has led Indonesia to be one of the world’s fastest-growing telecommunications market. This condition derives a number of internet service providers pushing the Indonesian market massively one ...
Nisrina Salma, Atik Aprianingsih, Ph.D
doaj +3 more sources
PERANCANGAN SISTEM PREDIKSI CHURN PELANGGAN PT. TELEKOMUNIKASI SELULER DENGAN MEMANFAATKAN PROSES DATA MINING [PDF]
Jurnal Informatika, 2008 The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj +1 more source
Modeling churn using customer lifetime value. [PDF]
European Journal of Operational Research, 2009 The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart +2 more
core +5 more sources
A predictive analytics approach to improve telecom's customer retention [PDF]
Frontiers in Artificial IntelligenceCustomer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate predictive model to identify potential customer churn using ...
Asem Omari +3 more
doaj +2 more sources
Customer churn prediction in telecom using machine learning in big data platform
Journal of Big Data, 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
Abdelrahim Kasem Ahmad +2 more
doaj +3 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
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