Detalhes
Nome
Pedro StrechtCluster
InformáticaCargo
Investigador Colaborador ExternoDesde
01 abril 2014
Nacionalidade
PortugalCentro
Laboratório de Inteligência Artificial e Apoio à DecisãoContactos
+351222094398
pedro.strecht@inesctec.pt
2022
Autores
Strecht, P; Mendes Moreira, J; Soares, C;
Publicação
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2022, PT II
Abstract
2021
Autores
Strecht, P; Mendes Moreira, J; Soares, C;
Publicação
EXPERT SYSTEMS
Abstract
2015
Autores
Strecht, P; Cruz, L; Soares, C; Moreira, JM; Abreu, R;
Publicação
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015
Abstract
2014
Autores
Strecht, P; Mendes Moreira, J; Soares, C;
Publicação
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014
Abstract
Predicting the failure of students in university courses can provide useful information for course and programme managers as well as to explain the drop out phenomenon. While it is important to have models at course level, their number makes it hard to extract knowledge that can be useful at the university level. Therefore, to support decision making at this level, it is important to generalize the knowledge contained in those models. We propose an approach to group and merge interpretable models in order to replace them with more general ones without compromising the quality of predictive performance. We evaluate our approach using data from the U. Porto. The results obtained are promising, although they suggest alternative approaches to the problem.
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