Customer churn prediction in telecommunication industry using classification and regression trees and artificial neural network algorithms

SO Abdulsalam, MO Arowolo… - … Journal of Electrical …, 2022 - section.iaesonline.com
Customer churn is a serious problem, which is a critical issue encountered by large
businesses and organizations. Due to the direct impact on the company's revenues …

Sequential feature selection in customer churn prediction based on Naive Bayes

Y Yulianti, A Saifudin - IOP conference series: materials science …, 2020 - iopscience.iop.org
The customer churn prediction is an important business strategy for the company. The ease
of switching operators is one of the serious challenges that must be faced by the …

A churn prediction system for telecommunication company using random forest and convolution neural network algorithms

SO Abdulsalam, JF Ajao, BF Balogun… - … Endorsed Transactions on …, 2022 - eudl.eu
INTRODUCTION: Customer churn is a severe problem of migrating from one service
provider to another. Due to the direct influence on the company's sales, companies are …

[DOC][DOC] Review of Data Mining Techniques for Detecting Churners in the Telecommunication Industry

M Ewieda, MI Roushdy… - Future Computing …, 2021 - digitalcommons.aaru.edu.jo
The telecommunication sector has been developed rapidly and with large amounts of data
obtained as a result of increasing in the number of subscribers, modern techniques, data …

[PDF][PDF] Prediksi Tingkat Pelanggan Churn Pada Perusahaan Telekomunikasi Dengan Algoritma Adaboost

IM Latief, A Subekti, W Gata - Jurnal Informatika, 2021 - scholar.archive.org
Dengan pesatnya kemajuan industri telekomunikasi, dan persaingan antar perusahaan
telekomunikasi semakin meningkat, perusahaan perlu untuk memprediksi pelanggannya …

Analysis of Customer Churn in Telecommunication Industry with Machine Learning Methods

ÖN Bilişik, DT Sarp - Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023 - dergipark.org.tr
In today's conditions, customer loyalty has gained importance with the increase in the
competitive environment between companies, the development of marketing strategies and …