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master's thesis
Ekspertni sustav za klasificiranje podataka
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. urn:nbn:hr:200:941361
Gaće, Marin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Gaće, M. (2021). Ekspertni sustav za klasificiranje podataka (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:941361

Gaće, Marin. "Ekspertni sustav za klasificiranje podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:941361

Gaće, Marin. "Ekspertni sustav za klasificiranje podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:941361

Gaće, M. (2021). 'Ekspertni sustav za klasificiranje podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:941361

Gaće M. Ekspertni sustav za klasificiranje podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:200:941361

M. Gaće, "Ekspertni sustav za klasificiranje podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:941361

Metadata
TitleEkspertni sustav za klasificiranje podataka
Title (english)Expert system for data set classification
AuthorMarin Gaće
MentorTomislav Galba (mentor)
MentorAlfonzo Baumgartner (sumentor)
Committee memberTomislav Galba (predsjednik povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberIvica Lukić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2021-10-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Klasifikacija je metoda učenja, shvaćanja i razumijevanja. Nalazi se u svim sferama života. Sve što postoji se klasificira. Klasifikacija je kategoriziranje uzoraka u skupine koji imaju neka zajednička obilježja koji ih razlikuju od drugih. Klasifikacija u medicini ubrzava proces obrade podataka te pomaže pri donošenju odluka. Klasifikatori su alati za klasificiranje. Razlikuju se po načinu djelovanja i izvedbi, iako im je cilj isti. U radu je napravljen klasifikator baziran na mjerama udaljenosti k najbližih susjeda i Bayesov klasifikator koji nalaze primjenu u medicini kao i u drugim granama znanosti. Provedeni su testovi za ispitivanje rada klasifikatora. Objašnjeni su problemi koji nastaju prilikom klasifikacije te prilikom izrada samih klasifikatora.
Abstract (english)
Classification is a method of learning, understanding, and comprehension. It is located in all spheres of life. Everything that exists is classified. The classification is to categorize the group samples with some common characteristics that distinguish them from others. Classification in medicine speeds up the process of data processing helps in decision making. Classifiers are tools for classification. They differ in the way of activity and method, but their goal is the same. The classifier in this paper is made based on measures of distance k nearest neighbours and the Bayesian classifier used in medicine and other branches of science. Tests have been conducted to examine the work of the classifier. Explains the problems that arise when classifying and making the classifier.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:941361
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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 conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-11-25 13:36:28