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EDBT
2002
ACM

Profit Mining: From Patterns to Actions

10 years 11 months ago
Profit Mining: From Patterns to Actions
Abstract. A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining approach to reduce this gap. In profit mining, we are given a set of past transactions and pre-selected target items, and we like to build a model for recommending target items and promotion strategies to new customers, with the goal of maximizing the net profit. We identify several issues in profit mining and propose solutions. We evaluate the effectiveness of this approach using data sets of a wide range of characteristics.
Ke Wang, Senqiang Zhou, Jiawei Han
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2002
Where EDBT
Authors Ke Wang, Senqiang Zhou, Jiawei Han
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