prikaz prve stranice dokumenta Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka
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master's thesis
Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka
Zagreb: University of Zagreb, Faculty of Economics and Business, 2016. urn:nbn:hr:148:698718
Čudić, Maja
University of Zagreb
Faculty of Economics and Business

Institutional repository: REPEFZG

Cite this document

Čudić, M. (2016). Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:698718

Čudić, Maja. "Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2016. https://urn.nsk.hr/urn:nbn:hr:148:698718

Čudić, Maja. "Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2016. https://urn.nsk.hr/urn:nbn:hr:148:698718

Čudić, M. (2016). 'Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:148:698718

Čudić M. Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2016 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:148:698718

M. Čudić, "Analiza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:148:698718

Metadata
TitleAnaliza uspješnosti studiranja korištenjem otkrivanja znanja iz baza podataka
Title (english)Analysis of the studying efficacy by using knowledge discovery from databases
AuthorMaja Čudić
MentorMirjana Pejić Bach (mentor)
Committee memberIvan Strugar (predsjednik povjerenstva)
Committee memberJovana Zoroja (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
Zagreb
Defense date and country2016-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
U 21. stoljeću informatika je zauzela veliki dio našeg života. Ne samo u društvenom smislu nego i u poslovnom. Kompanije koriste informacijsku tehnologiju da bi mogle što bolje poslovati i konkurirati na tržištu. Jedan od važnih procesa je otkrivanje znanja iz baza podataka. Njime se kompanije koriste kako bi iz baza podataka mogle izvući tražene podatke. Na temelju tih podataka kompanija donosi odluke kojim će poboljšati poslovanje. Cilj ovog rada je opisati proces otkrivanja znanja iz baza podataka i pomoću regresijske analize utvrditi postojanje povezanost između studenata različitih demografskih karakteristika. Također, mjerenje uspješnosti studenata na Ekonomskom fakultetu u Zagrebu te utvrđivanje načina za poboljšanje obrazovanja na istom.
Abstract (english)
In the 21st century, information technology became a big part of our life. Not only in social terms, but in business too. Companies use information technology to operate better and to stay competitive on the market. One of the important processes is knowledge discovery from databases. It is used by companies in order to extract the required data from databases. Based on those data, the company makes decisions that will improve performance. This paper's goal is to describe the process of knowledge discovery from databases and, using regression analysis, determine the existence of a link between students of different demographic characteristics. Also, it is to measure the success of students at the Faculty of Economics in Zagreb and to identify ways to improve education at it.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:698718
Study programmeTitle: Business Economics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2016-12-06 17:56:06