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

Abstract : 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.
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Paula Potes Ruiz, Bernard Kamsu-Foguem, Bernard Grabot. An Interactive Approach for the Post-processing in a KDD Process. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. pp.93-100, ⟨10.1007/978-3-662-44739-0_12⟩. ⟨hal-01388213⟩

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