Swarm Intelligence Approach for Feature Selection Problem (CROSBI ID 722745)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tuba, Eva ; Alihodzic, Adis ; Tuba, Una ; Capor Hrošik, Romana ; Tuba, Milan
engleski
Swarm Intelligence Approach for Feature Selection Problem
Classification problems have been part of numerous real-life applications in fields of security, medicine, agriculture, and more. Due to the wide range of applications, there is a constant need for more accurate and efficient methods. Besides more efficient and better classification algorithms, the optimal feature set is a significant factor for better classification accuracy. In general, more features can better describe instances, but besides showing differences between instances of different classes, it can also capture many similarities that lead to wrong classification. Determining the optimal feature set can be considered a hard optimization problem for which different metaheuristics, like swarm intelligence algorithms can be used. In this paper, we propose an adaptation of hybridized swarm intelligence (SI) algorithm for feature selection problem. To test the quality of the proposed method, classification was done by k
Swarm Intelligence
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Podaci o prilogu
180-185.
2022.
objavljeno
10.1109/ISDFS55398.2022.9800815
Podaci o matičnoj publikaciji
Red Hook: Curran Associates
978-1-6654-9796-1
Podaci o skupu
10th International Symposium on Digital Forensics and Security (ISDFS 2022)
predavanje
06.06.2022-07.06.2022
Istanbul, Turska