Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Zhenkun Liu, Ping Jiang, Koen W. De Bock, Jianzhou Wang, Lifang Zhang, Xinsong Niu
| Year of publication: |
2024
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|---|---|
| Authors: | Liu, Zhenkun ; Jiang, Ping ; De Bock, Koen W. ; Wang, Jianzhou ; Zhang, Lifang ; Niu, Xinsong |
| Published in: |
Technological forecasting and social change : an international journal. - Amsterdam [u.a.] : Elsevier Science, ISSN 0040-1625, ZDB-ID 2015184-6. - Vol. 198.2024, Art.-No. 122945, p. 1-16
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| Subject: | Bayesian optimization | Customer churn prediction | Extreme gradient boosting tree | Profit maximization | Profit-driven customer churn prediction | Sensitivity analysis | Beziehungsmarketing | Relationship marketing | Prognoseverfahren | Forecasting model | Bayes-Statistik | Bayesian inference | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Algorithmus | Algorithm | Sensitivitätsanalyse |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2023.122945 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015076450