Results 121 to 130 of about 3,473 (211)

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]

Comput Intell Neurosci, 2022
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G.   +4 more
europepmc   +1 more source

Information transparency and customer churn: evidence from the insurance industry

, 2016
Customer churn (not renewing their contracts) is a major issue in the services industry. In this study, we examine the role of a price/service comparison website for car insurance services in customer churn.
Cheng, Aaron, Li, Ting, Pavlou, Paul A.
core   +1 more source

Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models

Algorithms
Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the ...
Victor Chang, Karl Hall, Qianwen Ariel Xu, Folakemi Ololade Amao, Meghana Ashok Ganatra, Vladlena Benson   +5 more
doaj   +1 more source

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry. [PDF]

PeerJ Comput Sci, 2022
Fakhar Bilal S, Ali Almazroi A, Bashir S, Hassan Khan F, Ali Almazroi A.   +4 more
europepmc   +1 more source

LOGIC MINING FOR TELECOMMUNICATION CHURN CLASSIFICATION: PERMUTATION WEIGHTED RANDOM 2 SATISFIABILITY REVERSE ANALYSIS APPROACH

Barekeng
The telecommunications industry is experiencing rapid transformation, resulting in tense competition and increased customer volatility. Telecom churn, which refers to the discontinuation of services by customers, poses a serious challenge due to its ...
Nur Ezlin Zamri, Nurul Ain Najwa Mohamad Jamil, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin   +3 more
doaj   +1 more source

Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems. [PDF]

F1000Res, 2021
Maw M, Haw SC, Ho CK.
europepmc   +1 more source

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study. [PDF]

J Med Internet Res, 2021
Kwon H, Kim HH, An J, Lee JH, Park YR.
europepmc   +1 more source

Machine Learning–Based Customer Churn Prediction in Telecommunication Industry

Applied Computational Intelligence and Soft Computing
Customer churn remains a major challenge in the telecommunications industry, where retaining existing customers is significantly more cost-effective than acquiring new ones.
Henry Nii-Armah Mettle, Emmanuel Herson Ayerko, Peter Appiahene   +2 more
doaj   +1 more source

Identifying customer churn in Telecom sector: A Machine Learning Approach

Fountain Journal of Natural and Applied Sciences (FUJNAS)
Nowadays, there is no shortage of options for customers when choosing where to put their money. As a result, customer churn and engagement have become one of the top issues.
Moshood Abiola Hambali, Emmanuel Lawrence, Yinusa Olasupo, Ishaku Andrew   +3 more
doaj   +1 more source

Applying CHAID for logistic regression diagnostics and classification accuracy improvement

In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
core