Knowledge management using data mining: a case study of the Federal University of Lavras
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Abstract
The management of knowledge embraces every form of production, storage, distribution and use of the knowledge, making necessary the use of information technologies to facilitate the process, due to the great increase in the volume of data. An emergent methodology that tries to solve the problem of the analysis of great amounts of data is the knowledge discovery in database (KDD) and data mining, a technique that is part of this methodology. This article aims to develop, apply and analyze a tool of data mining, to extract knowledge regarding people¿s scientific production involved with the research at the Federal University of Lavras (Ufla). The methodology used involved bibliographical research, documental research, and method of case study. Once it was just used referring data to the scientific production of Ufla. The limitations found in the analysis of the results indicate that it is still necessary to standardize the completion of the Lattes curricula to refine the analyses, and establish indica- tors. The result was the creation of a structured database, which is part of a larger process of development of science and technology indicators, with the objective of aiding the elaboration of new policies of scientific and technological management and improvement of the superior education system in Brazil.
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Cardoso, O. N. P., & Machado, R. T. M. (2008). Knowledge management using data mining: a case study of the Federal University of Lavras. Brazilian Journal of Public Administration, 42(3), 495 a 528. Retrieved from https://periodicos.fgv.br/rap/article/view/6643
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