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  • Publication
    Métadonnées seulement
    Classification Rules + Time = Temporal rules
    (: Springer-Verlag Berlin, 2002-4) ; ;
    Sloot, Peter
    ;
    Tan, Chih Jeng Kenneth
    ;
    Dongarra, Jack
    ;
    Hoekstra, Alfons
    Due to the wide availability of huge data collection comprising multiple sequences that evolve over time, the process of adapting the classical data-mining techniques, making them capable to work into this new context, becomes today a strong necessity. In [1] we proposed a methodology permitting the application of a classification tree on sequential raw data and the extraction of the rules having a temporal dimension. In this article, we propose a formalism based on temporal first logic-order and we review the main steps of the methodology through this theoretical frame. Finally, we present some solutions for a practical implementation.