Analiza ljudskog razvoja korištenjem otkrivanja znanja u bazama podataka

master's thesis

• Title (english): Analysis of the Human Development using knowledge discovery in databases
• Author: Filip Lisjak
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Ivan Strugar (predsjednik povjerenstva)
• Committee member: Jovana Zoroja (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; Zagreb
• Defense date and country: 2020-09-23, 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: indeks ljudskog razvoja; rudarenje podataka; baze podataka; klaster analiza; analiza vremenskih serija
• Keywords (english): Human Development Index; data mining; databases; cluster analysis; time series analysis
• Language: croatian
• URN:NBN: urn:nbn:hr:148:944975
• Study programme: Title: Business Economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-09-23 09:04:13