Comparison of Forecasting Algorithms on Retail Data

Sales forecasting is of great importance in retail business in terms of reducing the number of stock days, stock cost and cash flow, increasing the availability of products in the stores, increasing sales and preventing customer loss. In this study, sales forecasting will be performed by using regre...

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Veröffentlicht in:	2022 10th International Symposium on Digital Forensics and Security (ISDFS) S. 1 - 4
Hauptverfasser:	Dincoglu, Pelin, Aygun, Huseyin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.06.2022
Schlagworte:	Analytical models Costs data mining Digital forensics Error analysis Predictive models regression Sales forecasting time series Time series analysis
Online-Zugang:	Volltext
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