A review of feature selection methods with applications (CROSBI ID 624496)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jović, Alan ; Brkić, Karla ; Bogunović, Nikola
engleski
A review of feature selection methods with applications
Feature selection (FS) methods can be used in data pre-processing to achieve efficient data reduction. This is useful for finding accurate data models. Since exhaustive search for optimal feature subset is infeasible in most cases, many search strategies have been proposed in literature. The usual applications of FS are in classification, clustering, and regression tasks. This review considers most of the commonly used FS techniques. Particular emphasis is on the application aspects. In addition to standard filter, wrapper, and embedded methods, we also provide insight into FS for recent hybrid approaches and other advanced topics.
feature selection; dimensionality reduction; high-dimensional data; data mining
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1447-1452.
2015.
objavljeno
Podaci o matičnoj publikaciji
MIPRO 2015 Proceedings
Biljanović, Petar
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-083-0
Podaci o skupu
MIPRO 2015
predavanje
25.05.2015-29.05.2015
Opatija, Hrvatska