Intelligent Decision Forest Models for Customer Churn Prediction

• Main Authors: Usman-Hamza, F.E., Balogun, A.O., Capretz, L.F., Mojeed, H.A., Mahamad, S., Salihu, S.A., Akintola, A.G., Basri, S., Amosa, R.T., Salahdeen, N.K.
• Format: Article
• Published: MDPI 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136595558&doi=10.3390%2fapp12168270&partnerID=40&md5=a277e43bee8ed583d36b71be12a2a695; http://eprints.utp.edu.my/33549/

Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non-churn consumers. The...