Mining Web Transaction Patterns in Electronic Commerce Environment

Authors:
Yue-Shi Lee;Show-Jane Yen;Min-Chi Hsieh;Ghi-Hua Tu
Affiliations:
Ming Chuan Univ., Taiwan;Ming Chuan Univ., Taiwan;Ming Chuan Univ., Taiwan;Ming Chuan Univ., Taiwan
Venue:
CEC-EAST '04 Proceedings of the E-Commerce Technology for Dynamic E-Business, IEEE International Conference
Year:
2004

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Abstract

World Wide Web is the most excited impacts to the human society in the past few years. It provides another way for doing business. This paper proposes a new algorithm, IPA (Integrating Path traversal patterns and Association rules), for mining web transaction patterns in the electronic commerce environment. The IPA algorithm takes both the traveling and purchasing behaviors of customers into consideration at the same time to overcome the disadvantages of pure association rules mining and pure path traversal pattern mining. The experimental results show that the IPA algorithm can simultaneously and efficiently capture the user's traversing and purchasing behaviors.