Aplicação de clusterização de dados na base de dados do zoneamento ecológico-econômico de minas gerais

Abstract

Nowadays, the fast development of collection and data storage technologies and tools enable large volumes of data to be stored. In areas such as business, medicine, science and engineering, through web searches on search engines, social networks, blogs, e-commerce, are generated large amounts of data every day. Traditional data analysis tools are not able to extract knowledge from large databases, once the data volume is high and the diversity of these makes the discovery knowledge process a tough task. In this context, data mining techniques are used to explore large databases in order to discover useful patterns, which could still be ignored. This new knowledge generated can support decision makers in various situations related to their business. Thus, the main objective of this work is to make an application of data mining techniques in the information system database of the Ecological Economic Zoning of the Minas Gerais state (ZEE-MG), aiming the identification of hidden patterns and characteristics. These results may help, for example, as a potentializer for the planning and preparation of public policies for the state of Minas Gerais.