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Pregled bibliografske jedinice broj: 982710

Zbornik radova

Autori: Zorić, Bruno; Bajer, Dražen; Martinović, Goran
Naslov: Utilising Filter Inferred Information in Nature- inspired Hybrid Feature Selection
( Utilising Filter Inferred Information in Nature- inspired Hybrid Feature Selection )
Izvornik: Proceedings of the 3rd International Conference on Smart Systems and Technologies (SST 2018) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno (ur.). - Osijek : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek , 2018. 117-123 (ISBN: 978-1-5386-7189-4).
Skup: International Conference on Smart Systems and Technologies (SST 2018)
Mjesto i datum: Osijek, Hrvatska, 10-12.10.2018.
Ključne riječi: nature-inspired algorithms, feature selection, filter, hybrid, wrapper
( nature-inspired algorithms, feature selection, filter, hybrid, wrapper )
Sažetak:
The development of modern smart systems such as smart grid, medical diagnosis assessment tools or quality control systems in manufacturing relies heavily on data and knowledge attained from, possibly, large amounts of information. Several well known but hard to solve problems often arise during this process, a prominent one being the problem of high dimensionality. Although different methods of feature selection are both proposed and employed in order to ameliorate its effects, it remains an open problem. Recently, hybrid procedures combining both filters as a preprocessing step and a wrapper as a refining step have proven to be an effective approach. Along the problem of filter and wrapper selection, the problem of incorporating knowledge inferred by the filter into the wrapper is an interesting one. In this paper, a novel approach is proposed that relies on filter information in order to generate the initial population of a nature-inspired algorithm utilised as the wrapper. Promising results were obtained on several real-world datasets that demonstrate the effectiveness of the proposed approach both in terms of classification quality and dimensionality reduction. Results of the statistical analysis of performance when compared with other approaches further emphasize the observed benefits.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
URL Internet adrese: https://ieeexplore.ieee.org/document/8564720
Upisao u CROSBI: Bruno Zorić (bruno.zoric@etfos.hr), 1. Vel. 2019. u 09:49 sati



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