Naslov
Swarm Intelligence Approach for Feature Selection Problem

Autori
Tuba, Eva ; Alihodzic, Adis ; Tuba, Una ; Capor Hrošik, Romana ; Tuba, Milan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2022 : 10th International Symposium on Digital Forensics and Security (ISDFS 2022) / - Red Hook : Curran Associates, 2022, 180-185

ISBN
978-1-6654-9796-1

Skup
10th International Symposium on Digital Forensics and Security (ISDFS 2022)

Mjesto i datum
Istanbul, Turska, 06.06.2022. - 07.06.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Swarm Intelligence

Sažetak
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

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA