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master's thesis
Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka
Zagreb: University of Zagreb, Faculty of Economics and Business, 2020. urn:nbn:hr:148:944975
Lisjak, Filip
University of Zagreb
Faculty of Economics and Business

Institutional repository: REPEFZG

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Lisjak, F. (2020). Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:944975

Lisjak, Filip. "Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:944975

Lisjak, Filip. "Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:944975

Lisjak, F. (2020). 'Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 24 December 2024, https://urn.nsk.hr/urn:nbn:hr:148:944975

Lisjak F. Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2020 [cited 2024 December 24] Available at: https://urn.nsk.hr/urn:nbn:hr:148:944975

F. Lisjak, "Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:148:944975

Metadata
TitleAnaliza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka
Title (english)Analysis of the Human Development using knowledge discovery in databases
AuthorFilip Lisjak
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 country2020-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka proučava razine razvijenosti prema podacima o Indeksu ljudskog razvoja Programa Ujedinjenih naroda za razvoj. Analiza se vrši korištenjem programa za rudarenje podataka Weka. Weka je besplatan računalni program otvorenog koda za rudarenje podataka. Otkrivanja znanja u bazama podataka je postupak pronalaženja vrijednih podataka u velikim bazama podataka. Interpretacijom podaci postaju informacije od velike važnosti za poduzeća i državu. U ovom radu biti će provedena analiza grupiranja podataka i analiza vremenskih serija. Analiza grupiranja podataka, odnosno klaster analiza, promatrane subjekte svrstava u grupe prema zajedničkim obilježjima. Analiza vremenskih serija promatra i predviđa buduće kretanje vrijednosti varijabli. Indeks ljudskog razvoja mjeri ljudski razvoj kroz tri dimenzije. Dimenzije dugog i zdravog života, obrazovanja i pristojnog standarda života.
Abstract (english)
Analysis of the Human Development using knowledge discovery in databases studies levels of development according to Human Development Indeks of the United Nations Development Programme. The analysis is performed using Weka data mining software. Weka is a free open source software for data mining. Discovering knowledge in databases is the process of finding valuable data in large databases. Interpreted data becomes information of great value for companies and the government. In this paper, data grouping analysis and time series analysis will be performed. Data gruping analysis, i.e. cluster analysis, classifies the observed subjects into groups according to common characteristics. Time series analysis observes and predicts future moevemnts in the values of variables. The Human Development Index measures human development through three dimensions. Dimensions of a long and healthy life, knowledge and a decent standard of living.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:944975
Study programmeTitle: Business Economics
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-09-23 09:04:13