Open AccessA Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms
Author(s) -
Sulaiman Olaniyi Abdulsalam,
Jumoke Falilat Ajao,
Bukola Fatimah Balogun,
Micheal Olaolu Arowolo
Publication year - 2022
Publication title -
icst transactions on mobile communications and applications
Language(s) - English
Resource type - Journals
ISSN - 2032-9504
DOI - 10.4108/eetmca.v6i21.2181
Subject(s) - random forest , computer science , feature selection , machine learning , artificial neural network , relevance (law) , artificial intelligence , telecommunications , classifier (uml) , algorithm , data mining , political science , law