Pregled bibliografske jedinice broj: 192721
Reimplementation of the Random Forest Algorithm
Reimplementation of the Random Forest Algorithm // Parallel Numerics, Theory and Applications / Vajtersic, Marian et al. (ur.).
Salzburg: University of Salzburg, 2005. str. 119-128 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 192721 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Reimplementation of the Random Forest Algorithm
Autori
Topić, Goran ; Šmuc, Tomislav ; Šojat, Zorislav ; Skala, Karolj
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Parallel Numerics, Theory and Applications
/ Vajtersic, Marian et al. - Salzburg : University of Salzburg, 2005, 119-128
Skup
Parallel Numerics 2005, Theory and Applications
Mjesto i datum
Portorož, Slovenija, 20.04.2005. - 23.04.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Random forest algorithm; classification algorithm; parallel program
(forest algorithm; classification algorithm; parallel program)
Sažetak
He random forest algorithm is one of the more versatile data classification algorithms currently known to data mining community. It can classify huge amounts of data, with large number of attributes.The paper describes the reimplementation of the algorithm in higher programming language, and allow it to run in cluster environment.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Institut "Ruđer Bošković", Zagreb
