Artificial Intelligence Based Customer Churn Prediction Model for Business Markets

The introduction of artificial intelligence (AI) and machine learning (ML) technologies in recent years has resulted in improved company performance. Customer churn forecast is a difficult problem in many corporate sectors, particularly the telecommunications industry. Because customer churns have a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computational intelligence and neuroscience 2022-09, Vol.2022, p.1-14
Hauptverfasser:	Faritha Banu, J., Neelakandan, S., Geetha, B.T, Selvalakshmi, V., Umadevi, A., Martinson, Eric Ofori
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Automation Communications industry Customer services Customers Data mining Datasets Efficiency Internet service providers Investments Machine learning Particle swarm optimization Prediction models Profitability Software Swarm intelligence Telecommunications Telecommunications industry Telecommunications services industry
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!