A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Arno De Caigny, Kristof Coussement, Koen W. De Bock
| Year of publication: |
1 September 2018
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| Authors: | Caigny, Arno de ; Coussement, Kristof ; De Bock, Koen W. |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 269.2018, 2 (1.9.), p. 760-772
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| Subject: | OR in marketing | Hybrid algorithm | Customer churn prediction | Logit leaf model | Predictive analytics | Algorithmus | Algorithm | Beziehungsmarketing | Relationship marketing | Prognoseverfahren | Forecasting model | Data Mining | Data mining | Klassifikation | Classification | Logit-Modell | Logit model | Entscheidungsbaum | Decision tree | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2018.02.009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011864442