CONSUMER BEHAVIOR ANALYSIS BY GRAPH MINING TECHNIQUE

Katsutoshi Yada (), Hiroshi Motoda (), Takashi Washio () and Asuka Miyawaki ()
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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

New Mathematics and Natural Computation (NMNC), 2006, vol. 02, issue 01, 59-68

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.

Keywords: Graph mining; graph structure; consumer behavior; purchase pattern; cooking oil market (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S1793005706000294

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