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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

European journal of operational research, 2018-09, Vol.269 (2), p.760-772

2018

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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Decision Support Systems, 2021-11, Vol.150, p.1, Article 113523

2021

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Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

Journal of business research, 2013-09, Vol.66 (9), p.1629-1636

2013

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Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models

Expert systems with applications, 2012-06, Vol.39 (8), p.6816-6826

2012

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Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships

New edition., 2013

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Targeting customers for profit: An ensemble learning framework to support marketing decision-making

Information sciences, 2021-05, Vol.557, p.286-301

2021

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Incorporating textual information in customer churn prediction models based on a convolutional neural network

International journal of forecasting, 2020-10, Vol.36 (4), p.1563-1578

2020

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Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

European journal of operational research, 2020-09, Vol.285 (2), p.612-630

2020

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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Decision Support Systems, 2021-11, Vol.150, p.113523, Article 113523

2021

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Leveraging fine-grained transaction data for customer life event predictions

Decision Support Systems, 2020-03, Vol.130, p.113232, Article 113232

2020

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Configurations of business founder resources, strategy, and environment determining new venture performance

Journal of small business management, 2023-03, Vol.61 (2), p.1023-1061

2023

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A framework for configuring collaborative filtering-based recommendations derived from purchase data

European journal of operational research, 2018-02, Vol.265 (1), p.208-218

2018

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

Technological forecasting & social change, 2024-01, Vol.198 (January 2024), p.122945, Article 122945

2024

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The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles

Expert systems with applications, 2017-12, Vol.90, p.23-39

De Bock, Koen W.

2017

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Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

Annals of operations research, 2024-08, Vol.339 (1-2), p.765-787

2024

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Explainable Analytics for Operational Research

European journal of operational research, 2024-09, Vol.317 (2), p.243-248

2024

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The role of embodiment, experience, and self-image expression in creating continuance intention in the metaverse

Technological forecasting & social change, 2024-06, Vol.203, p.123402, Article 123402

2024

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Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

European journal of operational research, 2024-09, Vol.317 (2), p.249-272

2024

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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Expert systems with applications, 2011-09, Vol.38 (10), p.12293-12301

2011

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Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees

Journal of business research, 2014-01, Vol.67 (1), p.2751-2758

2014

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Ensemble classification based on generalized additive models

Computational statistics & data analysis, 2010-06, Vol.54 (6), p.1535-1546

2010

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

European journal of operational research, 2024-08

2024

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Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

Decision Support Systems, 2024-06, Vol.181, p.114217, Article 114217

2024

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A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer

Annals of operations research, 2022-08, Vol.315 (2), p.671-694

2022

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Ensembles of Probability Estimation Trees for Customer Churn Prediction

Trends in Applied Intelligent Systems, p.57-66

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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models

Advanced Database Marketing: Innovative Methodologies and Applications for Managing Customer Relationships

Targeting customers for profit: An ensemble learning framework to support marketing decision-making

Incorporating textual information in customer churn prediction models based on a convolutional neural network

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Leveraging fine-grained transaction data for customer life event predictions

Configurations of business founder resources, strategy, and environment determining new venture performance

A framework for configuring collaborative filtering-based recommendations derived from purchase data

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

The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

Explainable Analytics for Operational Research

The role of embodiment, experience, and self-image expression in creating continuance intention in the metaverse

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees

Ensemble classification based on generalized additive models

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

Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer

Ensembles of Probability Estimation Trees for Customer Churn Prediction

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