• 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