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Forecasting accuracy is reliant on the quality of available past data. Data disruptions can adversely affect the quality of the generated model (e.g. unexpected events such as out-of-stock products when forecasting demand). We address this problem by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c605666982c1d673c5bd6ded5cd7df
http://arxiv.org/abs/2106.13881
http://arxiv.org/abs/2106.13881
