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master's thesis
Odabir značajki skupa podataka uz pomoć evolucijskih algoritama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:221243
Majer, Laura
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Majer, L. (2022). Odabir značajki skupa podataka uz pomoć evolucijskih algoritama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:221243

Majer, Laura. "Odabir značajki skupa podataka uz pomoć evolucijskih algoritama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:221243

Majer, Laura. "Odabir značajki skupa podataka uz pomoć evolucijskih algoritama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:221243

Majer, L. (2022). 'Odabir značajki skupa podataka uz pomoć evolucijskih algoritama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:221243

Majer L. Odabir značajki skupa podataka uz pomoć evolucijskih algoritama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 May 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:221243

L. Majer, "Odabir značajki skupa podataka uz pomoć evolucijskih algoritama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:221243

Metadata
TitleOdabir značajki skupa podataka uz pomoć evolucijskih algoritama
Title (english)Data set feature selection using evolutionary algorithms
AuthorLaura Majer
MentorMarin Golub (mentor)
Committee memberMarin Golub (predsjednik povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
Committee memberAnte Đerek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom je radu obrađen problem odabira značajki skupa podataka korištenjem evolucijskih algoritama kao metode pretraživanja prostora stanja. Predstavljena je teorijska osnova odabira značajki i evolucijskih algoritama te je programski izveden algoritam koji kombinira metode filtera i metodu omotača, koristeći simetričnu nesigurnost, Relief i Fischer metriku te stroj potpornih vektora i klasifikator Naivan Bayes. Kvaliteta algoritma ispitana je na dva skupa podataka s različitim karakteristikama, Wisconsin Diagnostic Breast Cancer i MADELON.
Abstract (english)
In this paper feature selection using evolutionary algorithms was discussed. The theoretical basis of feature selection and evolutionary algorithms was given, as well as a potential solution combining filter and wrapper methods, including the Relief, Fischer and symmetrical uncertainty measures as well as Naive Bayes and SVM models. The algorithm’s quality was assessed on two datasets with differing characteristics, Wisconsin Diagnostic Breast Cancer and MADELON.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:221243
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-14 09:22:03