Results 81 to 90 of about 2,167,087 (189)
E-commerce big data processing based on an improved RBF model
Journal of Intelligent SystemsIn the dynamic landscape of China’s booming economy, the surge in e-commerce customer volume presents both opportunities and challenges, notably in managing customer churn (CC). Addressing this critical issue, this study introduces an innovative approach
Lu Qiuping
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Modeling churn using customer lifetime value. [PDF]
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.
Croux, Christophe +2 more
core
A comprehensive survey on customer churn analysis studies
Journal of Information and TelecommunicationThis paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar +4 more
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Bagging and boosting classification trees to predict churn. [PDF]
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
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A Predictive Analysis of Customer Churn
, 2023 Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased ...
Eskils, Olivia, Backman, Anna
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FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making
Applied SciencesCustomer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy.
Rashmi Nagpal +3 more
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Customer Churn Analysis and Prediction
, 2022 One of the biggest data domain and most demanding use cases of recent time is Customer churn prediction. For a healthy and growing business churn prediction is an important indicator. This project aims to develop a churn prediction for banking sector.
Bristy, Badrun Nahar
core
Research on telecom industry customer churn prediction based on explainable machine learning models
Dianxin kexueIn the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue.
WANG Shengjie, ZHANG Qinghong
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Research on customer churn prediction and model interpretability analysis. [PDF]
PLoS One, 2023 Peng K, Peng Y, Li W.
europepmc +1 more source