A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy

R Sudharsan, EN Ganesh - Connection Science, 2022 - Taylor & Francis
Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of
new attractive offers, the considerable issue of customer churn was faced by the …

Customer churn prediction in telecommunication industry using data certainty

A Amin, F Al-Obeidat, B Shah, A Adnan, J Loo… - Journal of Business …, 2019 - Elsevier
Abstract Customer Churn Prediction (CCP) is a challenging activity for decision makers and
machine learning community because most of the time, churn and non-churn customers …

[HTML][HTML] A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization

M Özmen, EK Aydoğan, Y Delice… - … Reviews: Data Mining …, 2020 - Wiley Online Library
Players in the telecommunications sector struggle against the competition to keep
customers, and therefore they need effective churn management. Most classification …

Research trends in customer churn prediction: a data mining approach

Z Tianyuan, S Moro - World conference on information systems and …, 2021 - Springer
This study aims to present a very recent literature review on customer churn prediction
based on 40 relevant articles published between 2010 and June 2020. For searching the …

Case based models of the relationship between consumer resistance to innovation and customer churn

Y Sun - Journal of Retailing and Consumer Services, 2021 - Elsevier
This paper aims to investigate the relationship between customer resistance to innovation
and customer churn based on young Chinese consumers' characteristics. This study uses …

[HTML][HTML] Social network analysis and churn prediction in telecommunications using graph theory

SM Kostić, MI Simić, MV Kostić - Entropy, 2020 - mdpi.com
Due to telecommunications market saturation, it is very important for telco operators to
always have fresh insights into their customer's dynamics. In that regard, social network …

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

S Ouf, KT Mahmoud, MA Abdel-Fattah - Journal of Big Data, 2024 - Springer
In the telecom sector, predicting customer churn has increased in importance in recent
years. Develo** a robust and accurate churn prediction model takes time, but it is crucial …

Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling

A Idris, A Iftikhar, ZU Rehman - Cluster Computing, 2019 - Springer
Nowadays, telecom industry faces fierce competition in satisfying its customers. This
competition thus requires an efficient churn prediction system to identify customers who are …

Just-in-time customer churn prediction in the telecommunication sector

A Amin, F Al-Obeidat, B Shah, MA Tae, C Khan… - The Journal of …, 2020 - Springer
Due to the exponential growth in technologies and a greater number of competitors in the
telecom sector, the companies are facing a rigorous problem of customer churns. The …