Alati za učitavanje nestrukturiranih podataka

Galić, Slaven

master's thesis

Alati za učitavanje nestrukturiranih podataka

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. urn:nbn:hr:200:328068

Galić, Slaven

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

APA 6th Edition

Galić, S. (2017). Alati za učitavanje nestrukturiranih 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:200:328068

MLA 8th Edition

Galić, Slaven. "Alati za učitavanje nestrukturiranih podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:328068

Chicago 17th Edition

Galić, Slaven. "Alati za učitavanje nestrukturiranih podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:328068

Harvard

Galić, S. (2017). 'Alati za učitavanje nestrukturiranih podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 15 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:328068

Vancouver

Galić S. Alati za učitavanje nestrukturiranih podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2025 March 15] Available at: https://urn.nsk.hr/urn:nbn:hr:200:328068

IEEE

S. Galić, "Alati za učitavanje nestrukturiranih podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:328068

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:328068

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Metadata

Title	Alati za učitavanje nestrukturiranih podataka
Title (english)	Web Scraping Tools
Author	Slaven Galić
Mentor	Josip Job (mentor)
Committee member	Josip Job (predsjednik povjerenstva)
Committee member	Časlav Livada (član povjerenstva)
Committee member	Emmanuel Karlo Nyarko (član povjerenstva)
Granter	Josip 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 country	2017-09-14, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	U ovom radu prezentirat će se se teme kao što su tipovi podataka po strukturi, njihovo učitavanje i prikazivanje pomoću gotovih usluga i biblioteka. Osim teorijskog dijela, u radu je prezentiran i konkretan primjer alata za učitavanje podataka iz nekog izvora. Kao rezultat ovakvog alata dobiveni su kvalitetni podatci koji su iskoristivi u praksi. Na temelju uspoređenih usluga, biblioteka i vlastitog alata može se vidjeti razlika u kvaliteti učitavanja nestrukturiranih podataka iz vanjskih... More
Abstract (english)	This paper will present topics such as data types by structure, scraping them and displaying them with completed services and libraries. In addition to the theoretical part, a specific example of a tool for scraping data from a source is presented in the paper. As the result of this kind of tool, quality data was obtained that can be utilized in practice. Based on comparisons of services, libraries and own tools, the difference in the quality of untrusted data can be presented from... More
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:328068
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on	2017-10-25 15:19:07

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