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undergraduate thesis
Primjena strojnog učenja u predviđanju ponašanja potrošaća
2019. urn:nbn:hr:211:776329
Zekan, Marko
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

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Zekan, M. (2019). Primjena strojnog učenja u predviđanju ponašanja potrošaća (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:776329

Zekan, Marko. "Primjena strojnog učenja u predviđanju ponašanja potrošaća." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:776329

Zekan, Marko. "Primjena strojnog učenja u predviđanju ponašanja potrošaća." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:776329

Zekan, M. (2019). 'Primjena strojnog učenja u predviđanju ponašanja potrošaća', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:211:776329

Zekan M. Primjena strojnog učenja u predviđanju ponašanja potrošaća [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2019 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:211:776329

M. Zekan, "Primjena strojnog učenja u predviđanju ponašanja potrošaća", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:211:776329

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Metadata
TitlePrimjena strojnog učenja u predviđanju ponašanja potrošaća
Title (english)The use of machine learning in CRM
AuthorMarko Zekan
MentorSandro Gerić (mentor)
MBZ: 262613
Committee memberDijana Oreški
MBZ: 318615
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2019-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U radu su obrađeni teorijski i primijenjeni aspekti nekolicine modela strojnog učenja. Modeli su korišteni za segmentiranje kupaca i predviđanje budućeg ponašanja postojećih i novih kupaca.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:776329
Study programmeTitle: Business 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-ShareAlike 3.0 Unported (CC BY-SA 3.0) icon
Created on2020-04-27 08:24:00