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
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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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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
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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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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 +6 more sources
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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Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling [PDF]
Statistika: Statistics and Economy Journal, 2022 Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth. One of the most important analysis tasks for game development is user churn prediction.
Guan-Yuan Wang
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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.
Prarthana R, Isiri P, Nikhil D
+7 more sources
Iraqi Journal for Computer Science and Mathematics, 2022 Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye +3 more
doaj +1 more source