Employing different optimisation approaches for SMOTE parameter tuning (CROSBI ID 642841)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Zorić, Bruno ; Bajer, Dražen ; Martinović, Goran ;
engleski
Employing different optimisation approaches for SMOTE parameter tuning
When performing classification tasks on problems stemming from the real-world phenomena, issues requiring attention often arise due to the specific nature of the data. One common problem is the imbalance of datasets, the resolving of which is performed through several different approaches suggested in the literature. These approaches require the knowledge regarding data distribution and complexity to tune their parameters in order to better deal with the imbalance. This paper aims to give insight on employing various optimisation approaches in order to optimise parameters for the synthetic minority over-sampling technique. Several prominent optimisation approaches are evaluated on different real-world datasets in order to see whether the selection of a specific approach would produce considerably better results thus encouraging the favouring of one approach over the others.
SMOTE; bio-inspired optimisation algorithms; data imbalance; parameter tuning
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
191-196.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 1st International Conference on Smart Systems and Technologies (SST)
Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ;
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku
978-1-5090-3718-6
Podaci o skupu
International Conference on Smart Systems and Technologies (SST)
predavanje
12.10.2016-14.10.2016
Osijek, Hrvatska