Results 131 to 140 of about 2,799 (223)

Churn prediction in telecommunication industry using kernel Support Vector Machines. [PDF]

PLoS One, 2022
Y NN, Ly TV, Son DVT.
europepmc   +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

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  

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

Agent based modelling and simulation: An examination of customer retention in the UK mobile market

, 2012
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Customer retention is an important issue for any business, especially in mature markets such as the UK mobile market where new customers can only be ...
Hassouna, Mohammed Bassam
core  

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

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

Churn Prediction Application in The Business World

, 2019
The latest escalation in the trade war between the USA and China is bad news for stakeholders, financiers, and investors. Businesses are becoming worried that a significant market crash is imminent. Within this context, churn prediction is considered one
Zhuhadar, Lily Popova, Lawson, William
core  

CHURN PREDICTION PELANGGAN TELEKOMUNIKASI SELULER DENGAN PENDEKATAN COST-SENSITIVE LEARNING [PDF]

, 2009
ABSTRAKSI: Churn prediction merupakan salah satu aplikasi data mining yang bertujuan untuk memprediksi para pelanggan yang berpotensial untuk churn. Churn prediction merupakan salah satu permasalahan kelas imbalance dan golongan churn merupakan kelas ...
SUGIHARTONO
core