  In this article, we investigate the features which enhanced discriminate the
survival in the micro and small business (MSE) using the approach of data
mining with feature selection. According to the complexity of the data set, we
proposed a comparison of three data imputation methods such as mean imputation
(MI), k-nearest neighbor (KNN) and expectation maximization (EM) using mutually
the selection of variables technique, whereby t-test, then through the data
mining process using logistic regression classification methods, naive Bayes
algorithm, linear discriminant analysis and support vector machine hence
comparing their respective performances. The experimental results will be
spread in developing a model to predict the MSE survival, providing a better
understanding in the topic once it is a significant part of the Brazilian' GPA
and macroeconomy.
