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Communication Dans Un Congrès Année : 2013

Visualisation of Association Rules Based on a Molecular Representation

Zohra Ben Said
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  • PersonId : 933717
Fabrice Guillet
Julien Blanchard
COD
Fabien Picarougne
COD

Résumé

In order to extract interesting knowledge from large amounts of rules produced by the data mining algorithms, visual representations of association rules are increasingly used. These representations can help users to find and to validate interesting knowledge. All techniques proposed for visualisation of rules have been developed to represent an association rule as a whole without paying attention to the relations among the items that make up the antecedent and the consequent and the contribution of each one to the rule. In this paper, we propose a new visualisation representation for association rules that allows the visualisation of the items which make up the antecedent and the consequent, the contribution of each one to the rule, and the correlations between each pair of the antecedent and each pair of consequent.
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Dates et versions

hal-00991909 , version 1 (16-05-2014)

Identifiants

Citer

Zohra Ben Said, Fabrice Guillet, Paul Richard, Julien Blanchard, Fabien Picarougne. Visualisation of Association Rules Based on a Molecular Representation. 17th International Conference Information Visualisation (IV2013), Jul 2013, London, United Kingdom. pp.577-581, ⟨10.1109/IV.2013.98⟩. ⟨hal-00991909⟩
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