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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Bibliographic Details
Main Author: Ebbesson, Markus
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för informationsteknologi 2016
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301333

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