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From the point of view of the average investor (individual), direct treasury is an attractive alternative to fixed income investments with lower transaction costs once it eliminates intermediaries. From a database of the Treasury Direct Investors Register in Brazil from the site: data.gov.br, this work sought to use data mining techniques such as clustering and induction tree in order to translate the investor behavior of Treasury Direct. The techniques performed in the database were applied in order to identify the investor behavior and profile through data mining, whether this user is inactive or active, identifying recurring characteristics among them. Among the months analyzed, we can reach a common profile as being male, married and with an average age of approximately 45 years.

INVESTIDORES DO TESOURO DIRETO: EXPLORAÇÃO DO COMPORTAMENTO DOS INVESTIDORES UTILIZANDO MINERAÇÃO DE DADOS