prikaz prve stranice dokumenta Alati za učitavanje nestrukturiranih podataka
  Download
PDF 2.37 MB
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

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

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

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

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 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:328068

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 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:328068

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

Please login to the repository to save this object to your list.
Metadata
TitleAlati za učitavanje nestrukturiranih podataka
Title (english)Web Scraping Tools
AuthorSlaven Galić
MentorJosip Job (mentor)
Committee memberJosip Job (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberEmmanuel Karlo Nyarko (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 country2017-09-14, 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 izvora te njihovo spremanje u raznim formatima.
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 external sources and their storage in a variety of formats.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:328068
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
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2017-10-25 15:19:07