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Consumer Behavior Analysis By Graph Mining Technique

  • 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)

Registered author(s):

    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.

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    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.

    Volume (Year): 02 (2006)
    Issue (Month): 01 ()
    Pages: 59-68

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    Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:01:p:59-68
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