Hu, Yuanpu (2023) Sales Prediction Based on State-of-art Machine Learning Scenarios. In: Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China.
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Abstract
The way to predict sales volume accurately and efficiently is an important issue that enterprises have always paid attention to. Although the traditional time series prediction method plays a leading role in research and practice, it has some limitations. With the development of big data, e-commerce
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:10 |
| Last Modified: | 17 Apr 2026 03:23 |
| URI: | http://eprints.eai.eu/id/eprint/42636 |
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