A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry-Reference-Cited by-同舟云学术

A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry

Published:2017-03 Issue: Volume:95 Page:27-36
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Coussement Kristof^ORCID,Lessmann Stefan,Verstraeten Geert

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference65 articles.

1. A novel evolutionary data mining algorithm with applications to churn prediction;Au;IEEE Trans. Evol. Comput.,2003

2. Database marketing: Analyzing and Managing Customers;Blattberg,2010

3. Khiops: a statistical discretization method of continuous attributes;Boullé;Mach. Learn.,2004

4. MODL: a Bayes optimal discretization method for continuous attributes;Boullé;Mach. Learn.,2006

5. Bagging predictors;Breiman;Mach. Learn.,1996

Cited by 135 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. Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach;Journal of Business Research;2024-11

2. Explainable AI for enhanced decision-making;Decision Support Systems;2024-09

3. An analysis on classification models for customer churn prediction;Cogent Engineering;2024-07-17

4. Data analytics-based auditing: a case study of fraud detection in the banking context;Annals of Operations Research;2024-07-02

5. Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction;Journal of Retailing and Consumer Services;2024-07