DocumentCode
3260834
Title
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis
Author
Fukata, Kenta ; Washio, Takashi ; Motoda, Hiroshi
Author_Institution
Inst. of Sci. & Ind. Res., Osaka Univ.
fYear
2006
fDate
Dec. 2006
Firstpage
590
Lastpage
595
Abstract
An auto-regressive exogenous input (ARK) model has been widely used in engineering fields to model dynamic response of a system to exogenous factors. A difficulty in this modeling is the determination of an appropriate model complexity, i.e., orders, for given data. In this paper, we develop a new and practical approach to determine the appropriate orders. Moreover, we apply the developed technique to a real marketing data, and analyze dynamic response character of sales amount to advertisement and sales promotion. In marketing study, static response of sales to some exogenous factors such as advertisement and sales promotion have been analyzed. However, if we can model dynamic response of sales to exogenous factors, more precise strategies of the sales to reduce the risk of the item stock management and increase the associated profit can be designed
Keywords
promotion (marketing); sales management; ARX model orders; autoregressive exogenous input model; dynamic response; item stock management; sales dynamics analysis; Conferences; Data analysis; Data mining; Marketing and sales; Promotion - marketing; Risk management; Sampling methods; TV; Time series analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2702-7
Type
conf
DOI
10.1109/ICDMW.2006.10
Filename
4063695
Link To Document