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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Communication dans un congrès
Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-438 (Part I), pp.93-100, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44739-0_12〉
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Paula Potes Ruiz, Bernard Kamsu-Foguem, Bernard Grabot. An Interactive Approach for the Post-processing in a KDD Process. Bernard Grabot; Bruno Vallespir; Samuel Gomes; Abdelaziz Bouras; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. Springer, IFIP Advances in Information and Communication Technology, AICT-438 (Part I), pp.93-100, 2014, Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. 〈10.1007/978-3-662-44739-0_12〉. 〈hal-01388213〉

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