Pregled bibliografske jedinice broj: 763354
A review of feature selection methods with applications
A review of feature selection methods with applications // MIPRO 2015 Proceedings / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2015. str. 1447-1452 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 763354 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A review of feature selection methods with applications
Autori
Jović, Alan ; Brkić, Karla ; Bogunović, Nikola
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2015 Proceedings
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2015, 1447-1452
ISBN
978-953-233-083-0
Skup
MIPRO 2015
Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
feature selection; dimensionality reduction; high-dimensional data; data mining
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
