Navegando por Assunto "Knowledge discovery in database"

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Acesso aberto (Open Access)
Mineração de dados educacionais aplicada à busca de perfis de alunos em casos de evasão ou retenção: uma abordagem através de Redes Bayesianas
(Universidade Federal do Pará, 2017-09-12) COUTO, Diego da Costa do; SANTANA, Ádamo Lima de; http://lattes.cnpq.br/4073088744952858
This work investigates the profiles of undergraduate students at the University of Federal University of Pará prone to two problems faced in several universities evasion and retention. These problems stimulated the study of methodologies that detect patterns that lead to extrapolation or the premature end of the studies. The tool chosen for this purpose, the Bayesian Network is powerful in providing reasoning about uncertainties, especially in causes and effects diagnoses. Assumption of the relationship of the variables and their probability of occurrence and marginal. Another aspect inherent in the structure of Bayesian Networks is the comprehensibility of representation and results, which generate specialists and users entered into the domain. Considering such placements, these potential of the methodology in question strengthened its application in this research. So, academic records containing tens of thousands of samples from students immersed in presential teaching environments belonging to undergraduate students at the Federal University of Pará until the year 2016 were submitted to the of Knowledge Discovery in the Database, specifically in Data Mining the desired patterns were extracted using the classification task. In addition, several performance analyzes were performed during Data Mining stage The Bayesian Network together with other classic algorithms of supervised learning, and which revealed its great accuracy and efficiency, rising from the best solutions found, its use has been certified on the selected database. In three Study of Case, the results shows classifier’s quality based on Bayesian Networks, which presented an accuracy of more than 82%, a condition that its usefulness in the researched domain. Thus, the results achieved were satisfactory and strong influences of some variables on the propensity of evasion or retention.
Acesso aberto (Open Access)
Sistema de apoio à tomada de decisão para atribuição de responsabilidade por perda de qualidade devido à variação de tensão de curta duração
(Universidade Federal do Pará, 2009-03-13) FONSECA, Maria da Conceição Pereira; BEZERRA, Ubiratan Holanda; http://lattes.cnpq.br/6542769654042813
The electromagnetic environment surrounding the planet Earth has a fundamental role in the preservation and development of the living creature, and perhaps the last frontier of human knowledge to be dominated completely, before we ventured to the space outside in search of new opportunity outside. This environment is only now being tamed and best known, and this endeavor has as lynch pin the use of appropriate sensors that can detect and quantify these electrical effects, to serve as a basis for the generation of theories, to explain the underlying phenomena, including in this, the sensors of atmospheric electricity. This work intends to make a comprehensive analysis of these sensor’s systems of atmospheric electricity in use today, evaluating their models of operation, its limitations and its intelligence, and producing a summarized basic specifications for development of better sensors and setting standards for metric types of the variables to be measured, to cope with the currents and future demands in this field of knowledge. Additionally, the processes involved in the calibration of these sensors will be addressed with a review of computational model based on the method of moments (MoM) and other that my be used for evaluation of electromagnetic fields emitted by remote charges patterns and electrical currents, which serve to support and basis for these calibrations.