Performing Feature Selection with ACO

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddPennod

152 Wedi eu Llwytho i Lawr (Pure)


The main aim of feature selection is to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. In real world problems FS is a must due to the abundance of noisy, irrelevant or misleading features. However, current methods are inadequate at finding optimal reductions. This chapter presents a feature selection mechanism based on Ant Colony Optimization in an attempt to combat this. The method is then applied to the problem of finding optimal feature subsets in the fuzzy-rough data reduction process. The present work is applied to two very different challenging tasks, namely web classification and complex systems monitoring.
Iaith wreiddiolSaesneg
TeitlSwarm Intelligence and Data Mining
CyhoeddwrSpringer Nature
Nifer y tudalennau29
StatwsCyhoeddwyd - 2006

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'Performing Feature Selection with ACO'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn