Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to...

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Bibliographic Details
Main Authors: Falk, Anton, Holmgren, Daniel
Format: Others
Language:English
Published: Umeå universitet, Institutionen för matematik och matematisk statistik 2021
Subjects:
machine learning
statistical learning
statistics
random forest
xgboost
sarima
stacking
support vector regression
svr
linear regression
sales
sales forcasting
forecasting
time series
Mathematics
Matematik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184317

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184317

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