Demand Forecasting of Spare-Parts Using the Data Mining Techniques
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25847-3_25
Reference19 articles.
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3. Anglou, F., Ponis, S., Spanos, A.: A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry. J. Ind. Eng. Manag. 14(3), 604–621 (2021). https://doi.org/10.3926/jiem.3446
4. Bala, P.K.: Purchase-driven classification for improved forecasting in spare parts inventory replenishment. Int. J. Comput. Appl. 10, 40–45 (2010)
5. Baraka, A., Abuzir, Y.: Financial stock market forecast using data mining in Palestine, vol. 2, p. 38 (2019). https://doi.org/10.5281/zenodo.2582909
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