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

CRISTOBAL ROMERO MORALESSEBASTIAN EMILIO VENTURA SOTO2026-01-292026-01-29201310.1007/s10489-012-0374-82-s2.0-84876194131https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/24456Artificial IntelligencePredicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced dataresearch article