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 …

B2C E-commerce customer churn prediction based on K-means and SVM

X Xiahou, Y Harada - Journal of Theoretical and Applied Electronic …, 2022 - mdpi.com
Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …

A review of evaluation metrics in machine learning algorithms

G Naidu, T Zuva, EM Sibanda - Computer Science On-line Conference, 2023 - Springer
With the increase in the adoption rate of machine learning algorithms in multiple sectors, the
need for accurate measurement and assessment is imperative, especially when classifiers …

Deep churn prediction method for telecommunication industry

L Saha, HK Tripathy, T Gaber, H El-Gohary… - Sustainability, 2023 - mdpi.com
Being able to predict the churn rate is the key to success for the telecommunication industry.
It is also important for the telecommunication industry to obtain a high profit. Thus, the …

Machine Learning and Deep Learning technique used in Customer Churn Prediction:-A Review

A Raj, D Vetrithangam - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Churn Prediction is crucial in a number of service-based businesses, including the telecom
sector, life insurance, hospitality, banking, and gaming. A Prediction of consumer churn in …

Artificial intelligence based customer churn prediction model for business markets

J Faritha Banu, S Neelakandan… - Computational …, 2022 - Wiley Online Library
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 …

[Retracted] A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

M Zhao, Q Zeng, M Chang, Q Tong… - Discrete Dynamics in …, 2021 - Wiley Online Library
Customer churn will cause the value flowing from customers to enterprises to decrease. If
customer churn continues to occur, the enterprise will gradually lose its competitive …

Impact of hyperparameters on deep learning model for customer churn prediction in telecommunication sector

A Dalli - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In this paper, in order to predict a customer churn in the telecommunication sector, we have
analysed several published articles that had used machine learning (ML) techniques …

Hybrid model for profit-driven churn prediction based on cost minimization and return maximization

P Jiang, Z Liu, L Zhang, J Wang - Expert Systems with Applications, 2023 - Elsevier
Customer churn prediction is widely used to detect potential churners, which stimulates
customer retention, and decrease churn loss. Most customer churn prediction models …

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

J Kozak, K Kania, P Juszczuk, M Mitręga - International journal of …, 2021 - Elsevier
One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …