Action Rules Discovery, a New Simplified Strategy

  • Zbigniew W. Raś
  • Agnieszka Dardzińska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4203)


A new strategy for discovering action rules (or interventions) is presented in this paper. The current methods [14], [12], [8] require to discover classification rules before any action rule can be constructed from them. Several definitions of action rules [8], [13], [9], [3] have been proposed. They differ in the generality of their classification parts but they are always constructed from certain pairs of classification rules. Our new strategy defines the classification part of an action rule in a unique way. Also, action rules are constructed from single classification rules. We show how to compute their confidence and support. Action rules are used to reclassify objects. In this paper, we propose a method for measuring the level of reclassification freedom for objects in a decision system.


Classification Rule Decision System Decision Table Action Rule Decision Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zbigniew W. Raś
    • 1
    • 2
  • Agnieszka Dardzińska
    • 3
  1. 1.Department of Computer ScienceUNC-CharlotteCharlotteUSA
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  3. 3.Dept. of MathematicsBialystok Technical Univ.BialystokPoland

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