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Modelagem de processo de extração de conhecimento em banco de dados para sistemas de suporte à decisão
[thesis]
This work presents a model of knowledge discovery in databases, where the information for data analysis comes from a repository of transactional information systems and data-warehouse. The data mining focused on the generation of descriptive models by means of classification techniques based on the Bayes' theorem and a extraction method of classification rules, defining a methodology to propose new learning models. The process of knowledge extraction was implemented for the generation of
doi:10.11606/d.3.2008.tde-02102008-173336
fatcat:bktt47zkyrf3bpiz2zzkt622km