Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation,Information Systems
Reference157 articles.
1. Abdillah, M.F., Nasri, J., Aditsania, A.: Using deep learning to predict customer churn in a mobile telecomunication network. eProc. Eng. 3(2) (2016)
2. Ahmed, M., Afzal, H., Siddiqi, I., et al.: Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry. Neural Comput. Appl. (2018). https://doi.org/10.1007/s00521-018-3678-8
3. Ahmed, M., Siddiqi, I., Afzal, H., et al.: MCS: Multiple classifier system to predict the churners in the telecom industry. In: 2017 Intelligent Systems Conference, IntelliSys 2017, pp. 678–683. https://doi.org/10.1109/IntelliSys.2017.8324367 (2018b)
4. Akbani, R., Kwek, S., Japkowicz, N.: Applying support vector machines to imbalanced datasets. In: European Conference on Machine Learning, pp. 39–50. Springer (2004)
5. Alam, S., Sonbhadra, S.K., Agarwal, S., et al.: One-class support vector classifiers: a survey. Knowl. Based Syst. 196(105), 754 (2020)
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