Customer churn prediction for commercial banks using customer-value-weighted machine learning models
Year of publication: |
2021
|
---|---|
Authors: | Wu, Zongxiao ; Li, Zhiyong |
Published in: |
The journal of credit risk : published quarterly by Incisive Media. - London : Infopro Digital, ISSN 1744-6619, ZDB-ID 2170422-3. - Vol. 17.2021, 4, p. 15-42
|
Subject: | churn prediction | improved recenc-frequency-monetary value (RFM) model | customer value | H-measure | misclassification costs | Kundenwert | Customer value | Beziehungsmarketing | Relationship marketing | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Bank | Data Mining | Data mining |
-
Distributed model for customer churn prediction using convolutional neural network
Tariq, Muhammad Usman, (2022)
-
Sivasankar, E., (2019)
-
Singh, Pahul Preet, (2024)
- More ...
-
Wu, Zongxiao, (2022)
-
From fiction to fact : the growing role of generative AI in business and finance
Chen, Boyang, (2023)
-
From Fiction to Fact : The Growing Role of Generative AI in Business and Finance
Chen, Boyang, (2023)
- More ...