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Visual Analysis of the Behavior of Discovered Rules   
摘  要:   Rule mining is a central task of data mining. It has been studied extensively by many researchers. Much of the existing research, however, focused on how to generate rules efficiently. Limited work has been done on how to help the user understand and use the discovered rules. In many real-life applications, we found that in order for the user to have a good understanding of a rule, to trust it and to use it, he/she wants to know the behavior of the rule over time. In this paper, we propose a visualization technique to allow the user to visually analyze rules and their changing behaviors over a number of time periods. This not only enables him/her to find interesting rules and their behaviors easily, but also allows him/her to have a much better understanding of the domain. We will present a number of analysis methods in the proposed visualization technique. Statistical tests are also included to show significant changes of rules. Experiments and applications indicate that the proposed visualization and analysis technique is both effective and easy to use.

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