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    • Revista IJIMAI
    • 2019
    • vol. 5, nº 5, june 2019
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 5, june 2019
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    Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix

    Autor: 
    Atmani, Baghdad
    ;
    Benhacine, Fatima Zohra
    ;
    Abdelouhab, Fawzia Zohra
    Fecha: 
    06/2019
    Palabra clave: 
    data mining; DSS; association rules; cellular automaton; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12524
    DOI: 
    http://doi.org/10.9781/ijimai.2018.09.002
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2690
    Open Access
    Resumen:
    In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, in order to perform Clinical decision support system and decrease doctors’ cognitive charge. One of the major problems in processing association rules is the exponential growth of generated rules volume which impacts doctor’s adaptation. In order to clarify it, many approaches meant to represent this set of association rules under visual context have been suggested. In this article we suggest to use jointly the CASI cellular machine and the colored 2D matrices to improve the visualization of association rules. Our approach has been divided into four important phases: (1) Data preparation, (2) Extracting association rules, (3) Boolean modeling of the rules base (4) 2D visualization colored by Boolean inferences.
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