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 …

Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction

Z Liu, P Jiang, KW De Bock, J Wang, L Zhang… - … Forecasting and Social …, 2024 - Elsevier
Customer retention campaigns increasingly rely on predictive analytics to identify potential
churners in a customer base. Traditionally, customer churn prediction was dependent on …

Profit-driven weighted classifier with interpretable ability for customer churn prediction

P Jiang, Z Liu, MZ Abedin, J Wang, W Yang, Q Dong - Omega, 2024 - Elsevier
Customer churn prediction methods aim to identify customers with the highest probability of
attrition, improve the effectiveness of customer retention campaigns, and maximize profits …

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Hospitality order cancellation prediction from a profit-driven perspective

Z Liu, P Jiang, J Wang, Z Du, X Niu… - International Journal of …, 2023 - emerald.com
Purpose This study/paper aims to reach the core objective of hospitality order cancellation
prediction (HOCP), that is, to identify potential cancellers from many customer bases …

Predicting customer churn: A systematic literature review

S De, P Prabu - Journal of Discrete Mathematical Sciences and …, 2022 - Taylor & Francis
Churn prediction is an active topic for research and machine learning approaches have
made significant contributions in this domain. Models built to address customer churn, aim to …

Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification

Z Liu, KW De Bock, L Zhang - European Journal of Operational Research, 2025 - Elsevier
The goal of hotel booking cancellation prediction in the hospitality industry is to identify
potential cancellations from a large customer base and improve the efficiency of customer …

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 …

Effective ML techniques to predict customer churn

S De, P Prabu, J Paulose - 2021 Third international conference …, 2021 - ieeexplore.ieee.org
Customer churn is one of the most challenging problems that affects revenue and growth
strategy of a company. According to a recent Gartner Tech Marketing survey, 91% of C-level …

Tax default prediction using feature transformation-based machine learning

MZ Abedin, G Chi, MM Uddin, MS Satu, MI Khan… - IEEE …, 2020 - ieeexplore.ieee.org
This study proposes to address the economic significance of unpaid taxes by using an
automatic system for predicting a tax default. Too little attention has been paid to tax default …