A conditional opposition-based particle swarm optimisation for feature selection

Because of the existence of irrelevant, redundant, and noisy attributes in large datasets, the accuracy of a classification model has degraded. Hence, feature selection is a necessary pre-processing stage to select the important features that may considerably increase the efficiency of underlying cl...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2022-12-01
Serija:	Connection Science
Teme:	classification data mining feature selection particle swarm optimisation wrapper approach
Online dostop:	http://dx.doi.org/10.1080/09540091.2021.2002266
Oznake:	Označite Brez oznak, prvi označite!