Results 111 to 120 of about 17,519 (197)

Enhancing customer retention in telecom industry with machine learning driven churn prediction

Scientific Reports
Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer ...
Alisha Sikri, Roshan Jameel, Sheikh Mohammad Idrees, Harleen Kaur   +3 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

A comprehensive survey on customer churn analysis studies

Journal of Information and Telecommunication
This 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, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei   +4 more
doaj   +1 more source

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

Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction

Scientific African
In recent times, customer churn has become one of the most significant issues in business-oriented sectors with telecommunication being no exception.
Fatima E. Usman-Hamza, Abdullateef O. Balogun, Ramoni T. Amosa, Luiz Fernando Capretz, Hammed A. Mojeed, Shakirat A. Salihu, Abimbola G. Akintola, Modinat A. Mabayoje   +7 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

A prediction algorithm of telecom customer churn based on Bayesian network parameters learning under incomplete data

Dianxin kexue, 2018
Aiming at prediction of telecom customer churn,a novel method was proposed to increase the prediction accuracy with the missing data based on the Bayesian network.This method used k-nearest neighbor algorithm to fill the missing data and adds two types ...
Yuxiang ZHAO, Guangyue LU, Hanglong WANG, Siwei LI   +3 more
doaj   +2 more sources

Customer Churn Prediction Analysis

International Journal of Computer Applications, 2018
Mrugendra Rahevar, Fenil D., Jainam D.
openaire   +1 more source

Research on telecom industry customer churn prediction based on explainable machine learning models

Dianxin kexue
In 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

Preventing customers from running away! Exploring generalized additive models for customer churn prediction [PDF]

, 2015
Benoit, Dries, Coussement, Kristof, Van den Poel, Dirk   +2 more
core   +2 more sources