Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Intelligent assistance for data pre-processing

Autor
Bilalli, B.; Abello, A.; Aluja, T.; Wrembel, R.
Tipus d'activitat
Article en revista
Revista
Computer standards & interfaces
Data de publicació
2018-03
Volum
57
Pàgina inicial
101
Pàgina final
109
DOI
https://doi.org/10.1016/j.csi.2017.05.004 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/113239 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0920548916302306?via%3Dihub Obrir en finestra nova
Resum
A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way around. Typically, a dataset needs to be pre-processed before being mined. Taking into account all the possible pre-processing operators, there exists a staggeringly large number of alternatives. As a consequence, non-experienced users become overwhelmed with pre-processing alter...
Citació
Bilalli, B., Abello, A., Aluja, T., Wrembel, R. Intelligent assistance for data pre-processing. "Computer standards & interfaces", 3 Juny 2017, vol. 57, p. 101-109.
Paraules clau
Data pre-processing Data mining Meta-learning
Grup de recerca
GESSI - Grup d'Enginyeria del Software i dels Serveis
LIAM - Laboratori de Modelització i Anàlisi de la Informació

Participants