Geração de conhecimento através de dados da Plataforma Lattes com o uso de técnicas de mineração de dados.

Abstract

There is currently a big necessity for organizations to have correct and quickly information and universities have a difficulty in getting information about the bibliographic, scientific and, technology production of their teachers. This data can be found in the Lattes Platform which has a large base curriculum data of researchers and teachers. To perform the extraction of knowledge from a large database can be used KDD techniques (Knowledge Discovery in Databases) and especially of Data Mining. This paper presents a bibliographic basis related to KDD, Data Mining, specifically Clustering and Association Rules, and the suggestion of a solution to collect data from Lattes curriculum of UNISC (University of Santa Cruz do Sul) teachers and apply data mining algorithms on data collected in order to generate knowledge that can be used in decision-making by university managers.