prikaz prve stranice dokumenta Izdvajanje podataka s internetskih stranica
Access restricted to students and staff of home institution
undergraduate thesis
Izdvajanje podataka s internetskih stranica
2020. urn:nbn:hr:146:645224
Prlić, Ivan
VERN University of Applied Sciences

Cite this document

Prlić, I. (2020). Izdvajanje podataka s internetskih stranica (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:146:645224

Prlić, Ivan. "Izdvajanje podataka s internetskih stranica." Undergraduate thesis, VERN University of Applied Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:146:645224

Prlić, Ivan. "Izdvajanje podataka s internetskih stranica." Undergraduate thesis, VERN University of Applied Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:146:645224

Prlić, I. (2020). 'Izdvajanje podataka s internetskih stranica', Undergraduate thesis, VERN University of Applied Sciences, accessed 16 January 2021, https://urn.nsk.hr/urn:nbn:hr:146:645224

Prlić I. Izdvajanje podataka s internetskih stranica [Undergraduate thesis]. Zagreb: VERN University of Applied Sciences; 2020 [cited 2021 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:146:645224

I. Prlić, "Izdvajanje podataka s internetskih stranica", Undergraduate thesis, VERN University of Applied Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:146:645224

Islandora Bookmark - Please login to use this feature
Metadata
TitleIzdvajanje podataka s internetskih stranica
Title (english)Website scraping
AuthorIvan Prlić
MentorIvo Beroš (mentor)
GranterVERN University of Applied Sciences
Zagreb
Defense date and country2020-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
U vrijeme njihove široke rasprostranjenosti i dostupnosti na internetu podatci su postali vrijedna roba kojima se mogu raditi razne statističke analize. Podatci, međutim, nisu uvijek dostupni u oblicima pogodnima za statističku obradu, te ih je u tim slučajevima potrebno izdvojiti s internetskih stranica i strukturirati. U radu su opisane različite vrste podataka dostupnih na internetu kao i neki od popularnijih alata za njihovo izdvajanje i strukturiranje. U radu je iznesena i studija slučaja izdvajanja podataka o nekretninama s internetskog oglasnika te je detaljno opisan postupak njihova izdvajanja, strukturiranja i pohrane. Opisane su i neke upotrebe dobivenih podataka u statističkim analizama, kao i alati koji se pri tom koriste.
Abstract (english)
In the times of wide distribution and availability of data on the Internet, the data has become a valuable commodity that can be subjected to various statistical analyses. Data, however, are not always available in formats suitable for statistical processing and need to be extracted from websites and structured. The paper describes different types of data available on the Internet. Some of the more popular tools that can be used to extract and structure data from websites are also described. Furthermore, part of the paper is a case study of the extraction of real estate data from an online advertisement website. The method of extracting, structuring, and storing the data from the online advertisement website is described in detail. Some ways and tools are described on how the obtained data can be used for the purposes of statistical analysis as well.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:146:645224
Study programmeTitle: Business Informatics
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-07-27 12:57:28