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Decision Trees, Binary Classification, Knowledge Discovery, PMBOK, Project Management


In this paper, we report a case study carried out in order to analyze the potential of applying knowledge discovery as a strategy to support decision making in public administration. The discovery of knowledge was implemented by using a binary classifier to predict the success of failure concerning cost and deadline plans. The prediction was made analyzing descriptive data of the plans. The dataset was obtained from a project management system that was built based on the practices of the PMBOK guide. The strategies used in this case study, the difficulties faced during the classifier modeling process and the results are discussed herein.


This paper is in Portuguese (Tomada de Decisão na Administração Pública Apoiada pela Descoberta de Conhecimento: Um Estudo de Caso em Gestão de Projetos)