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.
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Chen, Y., Zhao, Y., Yao, Y. (2007). A Profit-Based Business Model for Evaluating Rule Interestingness. In: Kobti, Z., Wu, D. (eds) Advances in Artificial Intelligence. Canadian AI 2007. Lecture Notes in Computer Science(), vol 4509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72665-4_26
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DOI: https://doi.org/10.1007/978-3-540-72665-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72664-7
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