Reimplementation of the Random Forest Algorithm (CROSBI ID 506086)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Topić, Goran ; Šmuc, Tomislav ; Šojat, Zorislav ; Skala, Karolj
engleski
Reimplementation of the Random Forest Algorithm
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.
forest algorithm; classification algorithm; parallel program
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Podaci o prilogu
119-128-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
Parallel Numerics, Theory and Applications
Vajtersic, Marian et al.
Salzburg: University of Salzburg
Podaci o skupu
Parallel Numerics 2005, Theory and Applications
predavanje
20.04.2005-23.04.2005
Portorož, Slovenija
