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Pregled bibliografske jedinice broj: 1113373

Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques

Zorić, Bruno; Bajer, Dražen; Dudjak, Mario
Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques // Proceedings of the 4th International Conference on Smart Systems and Technologies (SST 2020) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Galić, Irena (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2020. str. 89-96 doi:10.1109/SST49455.2020.9263700 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques

Autori
Zorić, Bruno ; Bajer, Dražen ; Dudjak, Mario

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

Izvornik
Proceedings of the 4th International Conference on Smart Systems and Technologies (SST 2020) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Galić, Irena - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2020, 89-96

ISBN
978-1-7281-9759-6

Skup
International Conference on Smart Systems and Technologies 2020 (SST 2020)

Mjesto i datum
Osijek, Hrvatska, 14.10.2020. - 16.10.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bio-inspired optimisation ; classification ; discretisation ; feature selection ; wrapper

Sažetak
Wrapper-based feature selection approaches reliant on different bio-inspired optimisation algorithms are both effective and widely employed when dealing with classification problems. These algorithms have proven themselves as successful wrappers in finding good feature subsets. However, as a large number of them is defined for the real domain, the small detail of their adaptation to the discrete domain of feature selection is often overlooked. This holds especially true for differential evolution, a prominent wrapper choice among bioinspired optimisation algorithms. As distinct discretisation techniques have been proposed in the literature, the question of which one to incorporate in differential evolution and under which circumstances remains rather unanswered. This paper attempts to provide some answers in that regard by studying the incorporation of discretisation techniques into differential evolution and their influence on the quality of attained feature subsets. Given their differences, some suggestions concerning the selection of discretisation techniques are given based on the obtained results.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Dražen Bajer (autor)

Avatar Url Mario Dudjak (autor)

Avatar Url Bruno Zorić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Zorić, Bruno; Bajer, Dražen; Dudjak, Mario
Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques // Proceedings of the 4th International Conference on Smart Systems and Technologies (SST 2020) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Galić, Irena (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2020. str. 89-96 doi:10.1109/SST49455.2020.9263700 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zorić, B., Bajer, D. & Dudjak, M. (2020) Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques. U: Žagar, D., Martinović, G., Rimac Drlje, S. & Galić, I. (ur.)Proceedings of the 4th International Conference on Smart Systems and Technologies (SST 2020) doi:10.1109/SST49455.2020.9263700.
@article{article, author = {Zori\'{c}, Bruno and Bajer, Dra\v{z}en and Dudjak, Mario}, year = {2020}, pages = {89-96}, DOI = {10.1109/SST49455.2020.9263700}, keywords = {bio-inspired optimisation, classification, discretisation, feature selection, wrapper}, doi = {10.1109/SST49455.2020.9263700}, isbn = {978-1-7281-9759-6}, title = {Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques}, keyword = {bio-inspired optimisation, classification, discretisation, feature selection, wrapper}, publisher = {Fakultet elektrotehnike, ra\v{c}unarstva i informacijskih tehnologija Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Osijek, Hrvatska} }
@article{article, author = {Zori\'{c}, Bruno and Bajer, Dra\v{z}en and Dudjak, Mario}, year = {2020}, pages = {89-96}, DOI = {10.1109/SST49455.2020.9263700}, keywords = {bio-inspired optimisation, classification, discretisation, feature selection, wrapper}, doi = {10.1109/SST49455.2020.9263700}, isbn = {978-1-7281-9759-6}, title = {Wrapper-based feature selection via differential evolution: benchmarking different discretisation techniques}, keyword = {bio-inspired optimisation, classification, discretisation, feature selection, wrapper}, publisher = {Fakultet elektrotehnike, ra\v{c}unarstva i informacijskih tehnologija Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Osijek, Hrvatska} }

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