Mining georeferenced data applying different fitness functions

• Thomas Jensen UEPG
• Salua Lima Azevedo UEPG
• Sérgio Roberto Spitzner Júnior UEPG
• Alaine Margarete Guimarães UEPG
• Leila Maria Vriesmann UEPG

DOI: https://doi.org/10.5753/sbsi.2006.14731

Abstract

In knowledge management it is known that the visualization of knowledge and its spatial location can contribute to its understanding and to the adoption of new strategies. This work aimed to incorporate to the software MinAG software, developed by the InfoAgro laboratory - UEPG, a module for the treatment of different fitness functions and also to contribute to the development of the project of visualization and interpretation of knowledge. A georeferenced database of the agricultural sector was used. agricultural sector. The generated rules were imported into the Geographic Information System information system SPRING and maps were obtained showing the spatial location spatial location of the rules on the farm.

Keywords: Data Mining, Georeferencing, Fitness Functions

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