How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning-Reference-Cited by-同舟云学术

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How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning

Published:2023-01 Issue: Volume:175 Page:108874
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Xie Chi,Zhang Jia-Le,Zhu You,Xiong Beibei,Wang Gang-Jin

Funder

National Office for Philosophy and Social Sciences

National Social Science Fund of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference88 articles.

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4. Recursive feature elimination in random forest classification supports nanomaterial grouping;Bahl;NanoImpact,2019

5. Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity;Balraadjsing;Chemosphere,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Consumers’ Financial Distress: Prediction and Prescription Using Interpretable Machine Learning;Information Systems Frontiers;2024-06-11

2. Data science methods for response, incremental response and rate sensitivity to response modelling in banking;Expert Systems;2024-06

3. A novel ensemble approach for estimating the competency of bank telemarketing;Scientific Reports;2023-11-27

4. Modeling the Telemarketing Process Using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach;IEEE Access;2023

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