Gestão do conhecimento usando Data Mining: estudo de caso na UFLA

• Ano de defesa: 2005
• Autor(a) principal: Cardoso, Olinda Nogueira Paes
• Orientador(a): Machado, Rosa Teresa Moreira
• Banca de defesa: Zambalde, André Luiz, Campos, Fernanda Cláudia Alves
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Lavras
• Programa de Pós-Graduação: DAE - Programa de Pós-graduação; Pós-graduação stricto-sensu em Administração
• Departamento: Departamento de Administração e Economia
• País: BRASIL
• Palavras-chave em Português: Gestão do conhecimento; DCBD; Data Mining; Plataforma Latttes; knowledge management; Data mining; Lattes plataform
• Área do conhecimento CNPq: CNPQ_NÃO_INFORMADO
• Link de acesso: https://repositorio.ufla.br/handle/1/2524

Knowledge is one of the most important resources of an organization, making possible intelligent actions. The process of administration of knowledge embraces every form of generation, storage, distribution and use of the knowledge, making necessary the use of information technologies to facilitate that process, due to the great increase in the volume of data. To process and analyze the information generated by the enormous bases of current data in a correct way is one of the essential requirements for a good decision. An emergent methodology that tries to solve this 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. The Universities are organizations turned to the knowledge. Considering the problems faced by Universities with the administration of the data, the present work aims to develop, apply and analyze a tool of Data Mining, to extract knowledge regarding the people's scientific production involved with the research at the Federal University of Lavras (UFLA). Thus, a database was created generated from extracted files of the Lattes Platform. The theoretical referential is linked to the management of the knowledge, knowledge discovery in databases, Data Mining and the administration of Universities. Some critical points of the administration politics of the scientific research at UFLA are approached, and finally, a description of the Lattes Platform. The methodology used involved the bibliographical research, the documental research, and the method of the 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 is still necessary to standardize the way to fill out the Lattes curricula, to refine the analyses and, establish indicators. The contribution was to generate 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 politics of scientific and technological management and improvement of the superior education system of the country.