Proces otkrivanja znanja primjenom tehnika rudarenja podataka

Ivandić, Viktorija (2016) Proces otkrivanja znanja primjenom tehnika rudarenja podataka. = Process of discovering knowledge using data mining techniques. Master's thesis (Bologna) , Sveučilište u Zagrebu, Fakultet strojarstva i brodogradnje, UNSPECIFIED. Mentor: Lisjak, Dragutin.

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Abstract (Croatian)

U radu su prikazane teorijske osnove poslovne inteligencije i rudarenja podataka. Detaljno je opisan proces rudarenja podataka koji je primijenjen na setu podataka o vojnim i civilnim zrakoplovnim nesrećama koje su se dogodile u razdoblju od 1908. do 2009. godine. Podaci su najprije deskriptivno analizirani te su modelirani procesi klasifikacije, klasterizacije i tekstualne analize. Procesi su rezultirali predikcijom na temu hoće li biti preživjelih putnika u nesreći, grupiranjem tipova zrakoplova, te asocijativnim pravilima koja daju informaciju o najčešćim uzrocima zrakoplovnih nesreća. Opisano je i kako se ti rezultati mogu iskoristiti u budućnosti.

Abstract

This paper presents the theoretical foundations of business intelligence and data mining. It describes in detail the process of data mining applied to a data set of military and civil aviation accidents that occured in the period from 1908 to 2009. The data was first analyzed descriptively. In addition to that the classification, clustering and text analysis processes were modeled. The processes have resulted in the prediction of the topic if there will be surviving passengers after occured accident, grouping similar aircraft types based on the overall accident occurance, and associative rules that provide information about the most common causes of these kind of accidents. In the end, a description how these results could be used in the future research has been given.

Item Type:	Thesis (Master's thesis (Bologna))
Uncontrolled Keywords:	poslovna inteligencija; rudarenje podataka; klasifikacija, klasterizacija; tekstualna analiza
Keywords (Croatian):	business intelligence; data mining; classification; clustering; text mining
Subjects:	TECHNICAL SCIENCE > Mechanical Engineering
Divisions:	700 Department of Industrial Engineering > 720 Chair of Production Control
Date Deposited:	06 Dec 2016 13:28
Last Modified:	25 Mar 2020 16:31
URI:	http://repozitorij.fsb.hr/id/eprint/7063

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