A Profit-Based Business Model for Evaluating Rule Interestingness

Authors:
Yaohua Chen;Yan Zhao;Yiyu Yao
Affiliations:
Department of Computer Science, University of Regina, Regina, Saskatchewan,S4S 0A2, Canada;Department of Computer Science, University of Regina, Regina, Saskatchewan,S4S 0A2, Canada;Department of Computer Science, University of Regina, Regina, Saskatchewan,S4S 0A2, Canada
Venue:
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Year:
2007

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Abstract

Different types of rules are mined from transaction databases often with the goal of improving sales and services. In this paper, we link the interestingness of rules with the context of business marketing. We consider the profits generated from some specific marketing strategies that are developed based on particular discovered rules. This leads to a profit-based business model for evaluating rule interestingness. With this additional utility, we investigate some relationships between different marketing strategies and fundamental properties of rules for profit increasing.