Mail Volume Forecasting an Evaluation of Machine Learning Models
This study applies machine learning models to mail volumes with the goal of making sufficiently accurate forecasts to minimise the problem of under- and overstaffing at a mail operating company. A most suitable model appraisal in the context is found by evaluating input features and three different...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301333 |