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An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach
Future Internet, 2021 With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing ...
Latifah Almuqren +2 more
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Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study [PDF]
, 2019 This article describes how the bank industry in Taiwan must function in today's tough and fiercely competitive domestic credit card market and subdued global market.
Li Chen Cheng; Chia-Chi Wu; Chih-Yi Chen
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Journal of Medical Internet Research, 2021 BackgroundCustomer churn is the rate at which customers stop doing business with an entity. In the field of digital health care, user churn prediction is important not only in terms of company revenue but also for improving the health of users.
Kwon, Hongwook +4 more
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Effect of SHAP feature analysis for predicted churn customers. [PDF]
, 2023 Effect of SHAP feature analysis for predicted churn customers.
Ke Peng (2220973) +2 more
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Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning
Applied Sciences, 2022 Free-to-play mobile games monetize players through different business models, with higher player engagement leading to revenue increases. Consequently, the foremost goal of game designers and developers is to keep their audience engaged with the game for
Kuzma Mustač +3 more
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Enhancing Customer Churn Analysis by Using Real-Time Machine Learning Model
International Journal of Advanced Computer Science and Applications—Customer churn, the loss of customers to competitors, poses a significant challenge for businesses, particularly in competitive industries such as banking and telecommunications.
Haitham Ghallab, Mona Nasr, Hanan Fahmy
semanticscholar +1 more source
Churn Analysis in Telecommunication Using Logistic Regression [PDF]
, 2017 Since the beginning of data mining the discovery of knowledge from the Databases has been carried out to solve various problems and has helped the business come up with practical solutions. Large companies are behind improving revenue due to the increase
Rupali Wagh, Helen Sebastian
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Journal of Sustainable Development and PolicyCustomer retention has emerged as a critical strategic objective for organizations seeking to sustain profitability and competitive advantage, particularly in highly saturated and dynamic markets.
Md Nur Hasan Mamun
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Transparency in Decision-Making: The Role of Explainable AI (XAI) in Customer Churn Analysis
Information Technology in Economics and BusinessIn many industries, such as the telecommunications industry, identifying the causes of customer churn is a primary challenge. In the telecommunications industry, it is of great importance to predict which customers will abandon or continue their ...
Cem Özkurt
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A Comparative Study on Customer Churn Analysis Using Machine Learning and Data Enrichment Techniques
Journal of Soft Computing and Decision AnalyticsWith the increasing amount of online shopping, companies can collect more customer data. Companies use this data to get to know their customers better and provide customized services.
Hatice Karaarslan +3 more
semanticscholar +1 more source