An Interactive Approach for the Post-processing in a KDD Process

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 438)


Association rule mining is a technique widely used in the field of data mining, which consists in discovering relationships and/or correlations between the attributes of a database. However, the method brings known problems among which the fact that a large number of association rules may be extracted, not all of them being relevant or interesting for the domain expert. In that context, we propose a practical, interactive and helpful guided approach to visualize, evaluate and compare the extracted rules following a step by step methodology, taking into account the interaction between the industrial domain expert and the data mining expert.


Knowledge Discovery from Databases Association Rules Mining Post-processing phase Interactivity Decision Support System 


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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  1. 1.Laboratoire Génie de ProductionINP-ENIT - Université de ToulouseTarbes CedexFrance

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