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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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Performance Analysis of Oversampling and Undersampling on Telco Churn Data Using Naive Bayes, SVM And Random Forest Methods [PDF]
E3S Web of ConferencesThe telecommunications industry is a rapidly growing economic sector in today’s digital era. However, intense competition causes challenges in retaining customers.
Alif Muhammad Daffa Nur +1 more
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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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Customer Churn Prediction for a Motor Insurance Company
2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018 Customer churn poses a significant challenge in various industries, including motor insurance. Retaining customers within insurance companies is much more challenging than in any other industry as policies are generally renewed every year. The main aim of this research is to identify the risk factors associated with churn, establish who are the ...
Maria Spiteri, George Azzopardi
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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
Soft Computing in the Service Industry [PDF]
, 2006 Service industries have recently witnessed several innovations, one of which is the widespread use of contact centres in the front of customer service management.
Tiwari, Ashutosh +3 more
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
doaj +2 more sources
CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
, 2023 Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success.
Taskin, Nayema
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A Fuzzy Rule-based Learning Algorithm for Customer Churn Prediction
, 2016 16th Industrial Conference on Data Mining (ICDM 2016), New York, United States, 13-17 July 2016Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn ...
Chen, Chong Cheng +7 more
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