Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference25 articles.
1. Agrawal, S., Das, A., Gaikwad, A., & Dhage, S. (2018). Customer churn prediction modelling based on behavioural patterns analysis using deep learning. In 2018 International conference on smart computing and electronic enterprise (ICSCEE) (pp. 1–6). IEEE.
2. Ahmadi, M. (2020). A computational approach to uncovering economic growth factors. Computational Economics, 1–26.
3. Ballestar, M. T., Grau-Carles, P., & Sainz, J. (2019). Predicting customer quality in e-commerce social networks: A machine learning approach. Review of Managerial Science, 13(3), 589–603.
4. Barua, S. (2020). Understanding Coronanomics : The economic implications of the coronavirus ( COVID-19 ) pandemic, 1–44.
5. Büşra Altunan, Ebru D. Arslan, Merve Seyis, & Merve Birer, F. Ü.-Y. (2019). A Data Mining Approach to Predict E-Commerce Customer Behaviour. In The International Symposium for Production Research, 29–43.
Cited by
40 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献