prikaz prve stranice dokumenta Tehnike rudarenja podataka za procjenu kreditnog rizika
  Download
PDF 846.95 KB
undergraduate thesis
Tehnike rudarenja podataka za procjenu kreditnog rizika
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2019. urn:nbn:hr:211:579030
Pakšec, Matea
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Institutional repository: Faculty of Organization and Informatics - Digital Repository

Cite this document

Pakšec, M. (2019). Tehnike rudarenja podataka za procjenu kreditnog rizika (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:579030

Pakšec, Matea. "Tehnike rudarenja podataka za procjenu kreditnog rizika." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:579030

Pakšec, Matea. "Tehnike rudarenja podataka za procjenu kreditnog rizika." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2019. https://urn.nsk.hr/urn:nbn:hr:211:579030

Pakšec, M. (2019). 'Tehnike rudarenja podataka za procjenu kreditnog rizika', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:211:579030

Pakšec M. Tehnike rudarenja podataka za procjenu kreditnog rizika [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2019 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:211:579030

M. Pakšec, "Tehnike rudarenja podataka za procjenu kreditnog rizika", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:211:579030

Metadata
TitleTehnike rudarenja podataka za procjenu kreditnog rizika
Title (english)Data Mining Techniques for Credit Risk Assessment Task
AuthorMatea Pakšec
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberIrena Kedmenec
MBZ: 318626
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Tema ovog završnog rada dobro je opisana samim naslovom. Danas, u urbanom svijetu, potrebni su krediti kako bi si pojedinci i poduzetnici ostvarili ciljeve koji su nemogući. Zbog same velike potražnje za kreditima i kreditiranjem, banke i ostale financijske institucije dolaze u pitanje kreditnog rizika. Svaka banka ima svoju strategiju prilikom odobravanja kredita za pojedinca ili poduzetnika. Pojedinci i poduzetnici podliježu provjerama banaka kako bi se ustanovila njihova kreditna sposobnosti, a ujedno banke zaštitile od loših klijenata. Ovakvi procesi zahtijevaju razne postupke koji mogu dugo trajati, pa čak i biti nepouzdani. Ovdje ulazi rudarenje podataka kao najnovija i najučinkovitija metoda sprječavanja kreditnog rizika. U ovom radu korištena je jedna od metoda rudarenja podataka pomoću koje ću pokušati riješiti određeni problem.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:579030
Study programmeTitle: Economics of Entrepreneurship
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2020-04-27 08:06:49