THE ANALYSIS OF SLAVONIAN WINES WITH APPLICATION OF CLUSTER ANALYSIS

diplomski rad

• Autor: Ana Jelčić
• Mentor: Mirjana Pejić Bach (mentor)
• Član povjerenstva: Ivan Strugar (predsjednik povjerenstva)
• Ustanova koja je dodijelila akademski / stručni stupanj: Sveučilište u Zagrebu; Ekonomski fakultet; (Katedra za informatiku); Zagreb
• Datum i država obrane: 2020-09-23, Hrvatska
• Znanstveno / umjetničko područje, polje i grana: DRUŠTVENE ZNANOSTI; Ekonomija

Sažetak

There is ten millennia where people all over the world enjoy in various delicious wines.
There are also numerous evidences that ancient people made and drank wine. Wine from
our territories was so good that even Greek writer Agatarid in the second century BC wrote:”
On Vis island in Adriatic Sea, a wine is produced that is better than all others if compared
with it”. There are many details and things that people deal with, but wine falls into the
category of creative art in which the winemaker not only creates pleasure for himself but
also for others to enjoy the perfect wine. It is a love that involves a lot of care, time and
attention, but once you discover it, you become addicted to it.
In this thesis two completely unrelated fields are combined - informatics and agronomy.
Since they do not have any similar segment, the work is a very different and instructive
examination.
The purpose of this master thesis was to examine and analyse the wines in Slavonia but with
the application of cluster analysis. The original inspiration came by an interest in the breadth
of the possibility of testing through cluster analysis and since Slavonia is familiar and offering
a large assortment of wines and winemakers, the goal become to do the analysis in that
matter.

• Ključne riječi: Slavonian wine; Cluster analysis; White wine; Red wine
• Jezik: engleski
• URN:NBN: urn:nbn:hr:148:490600
• Studijski program: Naziv: Ekonomija (na engleskom jeziku); Vrsta studija: sveučilišni; Stupanj studija: diplomski; Akademski / stručni naziv: magistar/magistra ekonomije (mag.oec.)
• Vrsta resursa: Tekst
• Način izrade datoteke: Izvorno digitalna
• Prava pristupa: Otvoreni pristup
• Datum i vrijeme pohrane: 2020-09-24 13:28:34