The paper “Mitigating Concept Drift in Job Execution Time Prediction Models” was presented on September 30 at the Workshop on Knowledge Discovery, Data Mining, and Learning (KDMiLe) 2025. The event took place in Fortaleza, Ceará, from September 29 to October 2.
The work was authored by student Bernardo Gallo (UFF) and professors Lúcia Drummond (UFF) and José Viterbo (UFF).