Rule-based customer churn prediction model using artificial neural network based and Rough Set theory

H Kumar, RK Yadav - … : Theories and Applications: Proceedings of SoCTA …, 2020 - Springer
… In retail, a dynamic meaning of churn is expected to distinguish churners effectively. This …
Rough set theory to propose a novel churn prediction framework using Customer review data. …

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
… In the telecommunication domain, the application and utilization of JIT approach is largely
… , we propose a JIT approach for handling CCP in the telecommunication sector. Where the …

Telecom churn prediction and used techniques, datasets and performance measures: a review

H Jain, A Khunteta, S Srivastava - Telecommunication Systems, 2021 - Springer
Customer churn prediction in telecommunication industry is a … This study presents a very
good review of customer churn, its … four rough set theory rules generation methods for churn

Prediction of customer plan using churn analysis for telecom industry

G RM - Recent Advances in Computer Science and …, 2020 - ingentaconnect.com
… the customer churn, this study used fuzzy logic to find out the reason behind the churn and
convince the customer not to churn… in the cellular telecommunication industry using large data …

Customer Churn prediction analysis in a telecommunication company with machine learning algorithms

ZU Erdem, B Çalış, SÜ Fırat - Endüstri Mühendisliği, 2021 - dergipark.org.tr
… In this paper, customer churn analysis is carried out by usingcustomers of a private
company in the telecommunication … with real-life case study from the telecommunication sector. …

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
… issue of customer churn was faced by the telecommunication industry. Thus, an efficient …
, Covering and LEM2 grounded on rough set classification by employing openly present data …

[HTML][HTML] Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector

IV Pustokhina, DA Pustokhin, PT Nguyen… - Complex & Intelligent …, 2021 - Springer
… [14] projected an approach for churn prediction under the employment of rough set theory
in telecom services. The Rough Set classification approach has surpassed the previous …

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
… -of-the-art approaches. Telecom market consumer churn prediction analysis using the CART
… ], The estimation of customer attrition in the telecommunications industry has been the most …

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
… algorithms, rough set, boost). On the other hand, the multiobjective … in telecommunication
customer churn prediction, neither multiobjective nor cost-sensitive multiobjective approaches

Customer churn prediction in telecom sector with machine learning and information gain filter feature selection algorithms

YK Saheed, MA Hambali - … Analytics for Business and Industry  …, 2021 - ieeexplore.ieee.org
… of forecasting client attrition in the telecommunications sector. We choose to validate using
cross-… , and YC Chin, “Combined rough set theory and flow network graph to predict customer