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master's thesis
Semantičko indeksiranje dokumenata i iterativno pretraživanje
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:255395
Zejnuni, Rajan
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Zejnuni, R. (2019). Semantičko indeksiranje dokumenata i iterativno pretraživanje (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:255395

Zejnuni, Rajan. "Semantičko indeksiranje dokumenata i iterativno pretraživanje." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:255395

Zejnuni, Rajan. "Semantičko indeksiranje dokumenata i iterativno pretraživanje." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:255395

Zejnuni, R. (2019). 'Semantičko indeksiranje dokumenata i iterativno pretraživanje', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:255395

Zejnuni R. Semantičko indeksiranje dokumenata i iterativno pretraživanje [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:255395

R. Zejnuni, "Semantičko indeksiranje dokumenata i iterativno pretraživanje", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:255395

Metadata
TitleSemantičko indeksiranje dokumenata i iterativno pretraživanje
AuthorRajan Zejnuni
MentorPavle Goldstein (mentor)
Committee memberPavle Goldstein (predsjednik povjerenstva)
Committee memberNela Bosner (član povjerenstva)
Committee memberTina Bosner (član povjerenstva)
Committee memberMarko Vrdoljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2019-03-01, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Cilj ovog rada je bio pronaći glavne karakteristične motive devet proteinskih familija metodom iterativnog pretraživanja. Problem sam transformirao u klasifikacijski te karakteristične motive zamijenio s n-gramima. Problemi s kojima sam se susreo u ovom radu su određivali smjer u kojem sam se kretao kako bih došao do konačnog željenog rezultata. Pronašao sam proteinske rječnike koji predstavljaju glavne karakteristike proteinskih familija, klasificirao proteinske nizove te reducirao dimenziju prostora. Konačno, rezultati nakon redukcije su se pokazali izrazito kvalitetnim jer sam značajno smanjio dimenziju prostora a da se pritom točnost klasifikacije nije značajno promijenila.
Abstract (english)
The purpose of this thesis was to find the main distinctive motifs of the nine protein families using the iterative method. I transformed the problem into one of a classification nature and replaced the distinctive motifs with n-grams. The problems I faced throughout my research determined the direction in which I proceeded so that I could get to the final and wanted result. I determined the protein dictionary which represent the main characteristics of protein families, after which I classified the protein sequences and reduced the space dimension. Finally, the results after the reduction proved to be of a tremendously great quality as I have significantly reduced the space dimension without significantly changing the accuracy of the classification.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:255395
Study programmeTitle: Mathematical Statistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-10 10:54:34