A comparison between chaos theory and Lévy flights in sunflower optimization for feature selection

Feature selection is a knowledge discovery tool to understand the problem by analysing features. In particular, the application of feature selection in data mining can not only improve the quality of extracted patterns and knowledge but also decrease computational costs. Various techniques have been...

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Veröffentlicht in:	Expert systems 2023-09, Vol.40 (8), p.n/a
Hauptverfasser:	Pereira, João Luiz Junho, Ma, Benedict Jun, Francisco, Matheus Brendon, Junior, Ronny Francis Ribeiro, Gomes, Guilherme Ferreira
Format:	Artikel
Sprache:	eng
Schlagworte:	Chaos theory Chebyshev approximation Computing costs Data mining Feature selection Fitness Heuristic methods Lévy flights Optimization sunflower optimization Sunflowers Transfer functions
Online-Zugang:	Volltext
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