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.
In REF the authors propose to represent the customer purchasing behavior using a directed graph retaining temporal information in a purchase sequence.
Consumer behavior analysis by graph mining technique
In Book of Knowledge-Based Intelligent Information and Engineering Systems
Mathematics Computer Science