Methodology Study of Academic Performance Using Data Mining

Data mining, education- oriented, predicts certain type of factor or characteristic of a case, phenomenon or situation. Mining models used are described in this article and the main results are discussed. Especially mining models clustering, classification and association are considered. In all cases is to determine patterns of academic success and failure for students, thus predicting the likelihood of dropping them or having poor academic performance, with the advantage of being able to do it early, allowing face action to reverse this situation. This work was carried out in 2013, with information for the years 2009 to 2013, with students of Operating Systems, subject to the Superior Technical Analyst-Programmer (TSAP), who studied at the Higher Institute of Curuzu Cuatia (ISCC), Corrientes, Argentina.