Aplicação de mineração de dados no banco de dados do zoneamento ecológico econômico de Minas Gerais

Abstract

Through studies and researches related to environmental and socioeconomic has obtained large amounts of data. However, this large amount of data makes analysis and human costly traditional methods of data recovery are not effective for obtaining knowledge hidden in masses of data. Thus, data mining is an alternative to assist the automatic discovery of knowledge. This paper presents a practical application of data mining in the database of Ecological and Economic Zoning of Minas Gerais. For this, we performed the entire step of KDD (Knowledge Discovery in Databases), including the implementation of software that uses the Apriori algorithm to obtain association rules, the bibliotca WEKA (Weikato Environment for Knowledge Analysis). The results can be used as a support tool in planning and developing public policies for the government and society.