IDEAS home Printed from https://ideas.repec.org/a/wsi/nmncxx/v02y2006i01ns1793005706000294.html
   My bibliography  Save this article

Consumer Behavior Analysis By Graph Mining Technique

Author

Listed:
  • KATSUTOSHI YADA

    (Faculty of Commerce, Kansai University, 3-3-35 Yamate, Suita, Osaka 564-8680, Japan)

  • HIROSHI MOTODA

    (ISIR, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan)

  • TAKASHI WASHIO

    (ISIR, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan)

  • ASUKA MIYAWAKI

    (Faculty of Commerce, Kansai University, 3-3-35 Yamate, Suita, Osaka 564-8680, Japan)

Abstract

In this paper, we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis for sequential purchase pattern is reviewed. Then we propose to represent the complicated customer purchase behavior by a directed graph retaining temporal information in a purchase sequence and apply a graph mining technique to analyze the frequent occurring patterns. In this paper, we demonstrate through the case of healthy cooking oil analysis how graph mining technology helps us understand complex purchase behavior.

Suggested Citation

  • Katsutoshi Yada & Hiroshi Motoda & Takashi Washio & Asuka Miyawaki, 2006. "Consumer Behavior Analysis By Graph Mining Technique," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 59-68.
    • Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:01:n:s1793005706000294
    DOI: 10.1142/S1793005706000294
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1793005706000294
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S1793005706000294?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:nmncxx:v:02:y:2006:i:01:n:s1793005706000294. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/nmnc/nmnc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.