A new version of the rule induction system LERS
Fundamenta Informaticae
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Decision Support Systems
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Action rules describe possible transitions of objects from one state to another with respect to a distinguished attribute. Previous research on action rule discovery usually requires the extraction of classification rules before constructing any action rule. In this paper, we present a new algorithm that discovers action rules directly from a decision system. It is a bottom-up strategy which has some similarity to systems ERIDand LERS. Finally, it is shown how to manipulate the music score using action rules.