DocumentCode
3263352
Title
Adaptive Hierarchical Forecasting
Author
Engels, C. ; Konen, W.
Author_Institution
Fachhochschule Dortmund, Dortmund
fYear
2007
fDate
6-8 Sept. 2007
Firstpage
177
Lastpage
179
Abstract
This paper describes the extension of classical forecasting methods for an application to hierarchical data structures. We show that various methods of hierarchical coupling can improve forecasting results using hierarchical relationships considerably. In a concrete application we are able to reduce the relative error of a retail forecasting model by 10%.
Keywords
data structures; forecasting theory; retailing; adaptive hierarchical forecasting; hierarchical coupling; hierarchical data structures; retail forecasting model; Business; Conferences; Construction industry; Data analysis; Data mining; Data structures; Demand forecasting; Intelligent structures; Predictive models; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location
Dortmund
Print_ISBN
978-1-4244-1347-8
Electronic_ISBN
978-1-4244-1348-5
Type
conf
DOI
10.1109/IDAACS.2007.4488400
Filename
4488400
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