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 :
بازگشت