Factor analysis in data mining applied for recognition and classification pattern for smart grid

The present work aims to present the method of factor analysis applied to pre-processing of data mining process. The factor analysis is applied to two pattern recognition and classification's databases of power engineering's problems. This pre-processing analyzes the input variables, thus having a better understanding of the importance of each variable as a input for pattern recognition and classification's methods. The pattern recognition and classification's methods were applied to the data with and without the application of factor analysis, thus comparing the real rate of right classification.