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undergraduate thesis
Usporedba algoritama rudarenja podataka u društvenim znanostima
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2022. urn:nbn:hr:211:471763
Tomaš, Stipe
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Institutional repository: Faculty of Organization and Informatics - Digital Repository

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Tomaš, S. (2022). Usporedba algoritama rudarenja podataka u društvenim znanostima (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:471763

Tomaš, Stipe. "Usporedba algoritama rudarenja podataka u društvenim znanostima." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:471763

Tomaš, Stipe. "Usporedba algoritama rudarenja podataka u društvenim znanostima." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:471763

Tomaš, S. (2022). 'Usporedba algoritama rudarenja podataka u društvenim znanostima', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:211:471763

Tomaš S. Usporedba algoritama rudarenja podataka u društvenim znanostima [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:211:471763

S. Tomaš, "Usporedba algoritama rudarenja podataka u društvenim znanostima", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:211:471763

Metadata
TitleUsporedba algoritama rudarenja podataka u društvenim znanostima
Title (english)Comparison of data mining algorithms in social sciences
AuthorStipe Tomaš
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberNikola Kadoić (član povjerenstva)
MBZ: 328945
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Tema ovog rada je „Usporedba algoritama rudarenja podataka u društvenim znanostima“. Na početku rada napravit će se pregled literature na temu rudarenja podataka, koja će biti temelj za razmatranja u ovom radu. Zatim slijedi teoretsko objašnjenje pojmova, odnosno algoritama vezanih uz rudarenje podataka. Konkretno, riječ je o konceptu CRISP-DM, klaster analizi, stablu odlučivanja i neuronskoj mreži. Navedeni algoritmi primijenit će se na skupu podataka o zločinima počinjenima u Los Angelesu, preuzetih sa platforme Kaggle. Za analizu ovog skupa podataka koristit će se alat BigML te će se primijeniti gore navedeni algoritmi rudarenja podataka. Na kraju rada usporedit će se dobiveni rezultati prediktivnih modela te njihova točnost.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:471763
Study programmeTitle: Information Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) icon
Created on2022-10-03 04:25:02