MINERAÇÃO E ANÁLISE EM BASE DE DADOS EDUCACIONAIS: UMA ABORDAGEM UTILIZANDO CLUSTERIZAÇÃO NOS DADOS DA PLATAFORMA LATTES
Palavras-chave:
Analise de dados, K-Means, Clusterização, Mineração de dadosResumo
Recent technological developments have enabled the generation of large volumes of data that
due to their complexity, require computational assistance to generate accurate results in a short period of
time. The Lattes Platform is a set of Web systems containing databases of curricula, research groups and
institutions, focused on the field of Science and Technology and maintained by CNPq. Due to its rich
database it has important information in the field of Science & Technology. In this article, the feasibility
of applying the data mining methods in the Lattes Platform database is demonstrated externalizing its
knowledge. Thus, as main contributions of this article forms of interpretation, development of standards
and generation of knowledge are presented from this data base, where clustering techniques were applied.
