Results 101 to 110 of about 22,947 (200)

Research on customer churn prediction and model interpretability analysis. [PDF]

PLoS One, 2023
Peng K, Peng Y, Li W.
europepmc   +1 more source

Early warning of telecom enterprise customer churn based on ensemble learning. [PDF]

PLoS One, 2023
Zhou Y, Chen W, Sun X, Yang D.
europepmc   +1 more source

E-commerce big data processing based on an improved RBF model

Journal of Intelligent Systems
In 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
doaj   +1 more source

Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature

IEEE Access
The telecommunications sector has experienced exponential growth since the year 2000, reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for telecommunications companies.
David Freire, David Santos Mauricio Sanchez, Jose Luis Castillo Sequera, Daniel Fiallo Moncayo   +3 more
doaj   +1 more source

Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest

Computer Science
– Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to ...
Ely Mufida, Doni Andriansyah, Hylenarti Hertyana   +2 more
doaj   +1 more source

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]

Comput Intell Neurosci, 2022
Faritha Banu J, Neelakandan S, Geetha BT, Selvalakshmi V, Umadevi A, Martinson EO.   +5 more
europepmc   +1 more source

Propension to customer churn in a financial institution: a machine learning approach. [PDF]

Neural Comput Appl, 2022
de Lima Lemos RA, Silva TC, Tabak BM.
europepmc   +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

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. [PDF]

PLoS One, 2022
Sana JK, Abedin MZ, Rahman MS, Rahman MS.   +3 more
europepmc   +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