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undergraduate thesis
Postupci odabira značajki
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:810431
Renić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Renić, J. (2017). Postupci odabira značajki (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:810431

Renić, Josip. "Postupci odabira značajki." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:810431

Renić, Josip. "Postupci odabira značajki." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:810431

Renić, J. (2017). 'Postupci odabira značajki', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:810431

Renić J. Postupci odabira značajki [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 August 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:810431

J. Renić, "Postupci odabira značajki", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:810431

Metadata
TitlePostupci odabira značajki
Title (english)Feature Selection Methods
AuthorJosip Renić
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberDavor Kukolja (član povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisana su tri filtarska postupka odabira značajki: symmetrical uncertainty, ReliefF i ChiSquare. Pokušali smo odgovoriti na pitanja kako, zašto i kada koristiti postupke. Za svaki postupak opisana je teorijska podloga, dan je primjer korištenje ili objašnjenje pseudokoda u svrhu shvaćanja i ispravne interpretacije dobivenih rezultata provedbom postupaka. Osim teorijskog objašnjenja načina rada postupaka provedena je implementacija triju postupaka. Implementirani postupci su testirani nad kategorijskim podatcima i rezultati su uspoređeni s već gotovim alatima koji nude iste postupke.
Abstract (english)
This paper describes three filter feature selection methods: symmetrical uncertainty, ReliefF, ChiSquare. We tried to answer questions like: how, why and when to use these methods. We described the theoretical background of each method and gave a usage example or explanation of the pseudocode for understanding and correct interpretation of the results obtained by performing these methods. In addition to theoretical explanation, these three methods were also implemented. The implemented methods were tested on the categorical data and the results were compared with available tools that offer implementation of these methods.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:810431
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 00:25:58