Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce
Author:
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10660-019-09383-2.pdf
Reference20 articles.
1. Berger, P., & Kompan, M. (2019). User modeling for churn prediction in E-commerce. IEEE Intelligent Systems,34(2), 44–52.
2. Fader, P. S., & Hardie, B. G. (2005). The value of simple models in new product forecasting and customer‐base analysis. Applied Stochastic models in business and industry, 21(4–5), 461–473.
3. Wang, C., Han, D., Fan, W., & Liu, Q. (2019). Customer churn prediction with feature embedded convolutional neural network: An empirical study in the internet funds industry. International Journal of Computational Intelligence and Applications,18(01), 1950003.
4. Raj, E. D., & Babu, L. D. (2017). An enhanced trust prediction strategy for online social networks using probabilistic reputation features. Neurocomputing,219, 412–421.
5. Liu, D. R., Liao, H. Y., Chen, K. Y., & Chiu, Y. L. (2019). Churn prediction and social neighbour influences for different types of user groups in virtual worlds. Expert Systems, e12384.
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