Mining large patterns with profit-based support in e-commerce

Authors:
Jin-Guk Jung;Supratip Ghose;Geun-Sik Jo
Affiliations:
Intelligent e-Commerce Systems Laboratory, School of Computer Engineering, Inha University, Incheon, Korea;Intelligent e-Commerce Systems Laboratory, School of Computer Engineering, Inha University, Incheon, Korea;School of Computer Engineering, Inha University, Incheon, Korea
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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Abstract

In this paper, we propose an unique profit criterion as a new minimum support threshold for each item and exploit the criterion as multiple minimum supports in our algorithm. We then apply our profit-based association rule mining algorithm to generate large itemsets and show the result of our experiment. Experiment results carried on synthetic data set show that the proposed approach is efficient and effective in terms of reducing candidate itemsets and generating more profitable itemsets respectively.