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An interactive approach for the post-processing 
in a KDD process

Grabot, Bernard and Potez-Ruiz, Paula and Kamsu-Foguem, Bernard An interactive approach for the post-processing 
in a KDD process. (2014) In: Advances in Production Management Systems - International Conference, APMS 2014, 20 September 2014 - 24 September 2014 (Ajaccio, France).

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-662-44739-0_12

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.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
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Deposited By: Bernard Grabot
Deposited On:15 May 2019 13:56

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