Extraction of rules from a contingency table in the case of complex Big Data type systems

M. Barboucha, T. Douhi, M. Sbai


This article describes a modeling approach based on data from a contingency table. We develop a step-by-step procedure based on the definition of a knowledge extractor using entropic concepts. The limit extraction threshold is chosen according to a multi-criteria analysis. Rules in symbolic form endowed with a truth coefficient and an efficiency coefficient are then deduced and constitute the model of the syste


modélisation, entropie, extracteur de connaissance, analyse multicritère, systèmes experts

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