Research Article
Optimizing Computer Worm Detection Using Ensembles
Algorithm 2
Random forest.
Input: Learning set- S, Ensemble size B, Proportion of | |
attributes considered f | |
Output: Ensemble E | |
(1) E = φ | |
(2) for i = 1 to B do | |
(3) =Boostrap Sample(S) | |
(4) =Build Random Tree Model (, f) | |
(5) E = E ∪ | |
(6) return E |