Author(s)

Marcia P.B. Gottgtroy, Marcia Jacyntha, N. Rodrigues, Marcel T.G. de Sousa

Abstract

From when the study of Machine Learning began and up to the present time, almost all the paradigms have been based on the idea of learning by repetition. In this case, one of the great problem faced is to have databases with good quality data, and principally, with a sufficient amount of data to base the work of learning algorithms upon. Today, the amount of data is not the problem anymore; in contrast, many organizations now have a wide range and quantity of information stored in large databases. They are so large and without consistent modeling that gives support to that dimensionality, the first stage of the Machine Learning process is now a specific step.

Keywords