Methodology for making data mining projects

Abstract

The purpose of this article is to propose a methodology for the execution of data mining projects, specifying the steps to follow to get results that can help to problem solving and decision making. In order to define the methodology, a review of the theories of Maimon and Rokach (2010), Korthetal
(2011) and Pérez (2014) was made and it was classified as a feasible project and documentary research. Thus it was structured by six (6) phases that include: understanding of business rules, problem formulation, data set selection, design and construction of the operating model, application of the data mining process, analysis, interpretation and diffusion of results.