Naslov
Evaluation and analysis of bio-inspired optimization algorithms for feature selection

Autori
Bajer, Dražen ; Zorić, Bruno ; Dudjak, Mario ; Martinović, Goran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
INFORMATICS 2019 PROCEEDINGS / Steingartner, Wiliam ; Korečko, Štefan ; Szakal, Aniko - Košice, 2019, 18-25

ISBN
978-1-7281-3178-8

Skup
15th International Scientific Conference on Informatics

Mjesto i datum
Poprad, Slovačka, 20.11.2019. - 22.11.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bio-inspired optimisation ; classification ; dimensionality reduction ; wrapper model feature selection ;
(bio-inspired optimisation ; classification ; dimensionality reduction ; wrapper model)

Sažetak
Wrapper-based feature (subset) selection is widely used as an effective means for decreasing the dimensionality of datasets. However, it is not the most efficient approach in terms of computational cost. Hence, the choice of the wrapper is paramount. Ideally, the wrapper should be simple to use and understand, whilst yielding good solutions as fast as possible. Bio-inspired optimisation algorithms are a common choice in that regard, but not all are made equally. This paper investigates a number of optimisers on diverse datasets in order to provide an insight into their efficiency and behaviour with respect to the problem of dimensionality reduction for classification needs. Correspondingly, some guidelines concerning the choice of the wrapper are given.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA