Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

Author: Márquez-Vera Carlos  

Publisher: Springer Publishing Company

ISSN: 0924-669X

Source: Applied Intelligence, Vol.38, Iss.3, 2013-04, pp. : 315-330

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract