A Retail Product Prediction Model Incorporating Machine Learning and Propensity Score Matching Method
Existing machine learning methods for retail product sales forecasting often rely on their own time series data and tend to ignore the correlation between the target retail product and other products. In this paper, we take cigarette product retail sales prediction as an example, and use the neighbo...
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| Veröffentlicht in: | 2024 7th International Conference on Computer Information Science and Application Technology (CISAT) S. 1030 - 1038 |
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| Hauptverfasser: | , , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
12.07.2024
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| Schlagworte: | |
| Online-Zugang: | Volltext |
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