Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima

Nadinić, Berislav

prikaz prve stranice dokumenta Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima

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doctoral thesis

Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. urn:nbn:hr:168:050142

Nadinić, Berislav

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Applied Computing

Cite this document

APA 6th Edition

Nadinić, B. (2009). Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:050142

MLA 8th Edition

Nadinić, Berislav. "Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. https://urn.nsk.hr/urn:nbn:hr:168:050142

Chicago 17th Edition

Harvard

Nadinić, B. (2009). 'Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:050142

Vancouver

Nadinić B. Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2009 [cited 2025 January 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:050142

IEEE

B. Nadinić, "Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2009. Available at: https://urn.nsk.hr/urn:nbn:hr:168:050142

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:050142

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Metadata

Title	Dubinska analiza podataka za cjeloviti pristup korisniku u bankarskim sustavima
Title (english)	Data mining for holistic customer management in banking systems
Author	Berislav Nadinić
Mentor	Damir Kalpić (mentor)
Committee member	Damir Kalpić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Applied Computing) Zagreb
Defense date and country	2009-04-14, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Smjernice sporazuma Basel II propisuju stvaranje repozitorija agregiranih povijesnih podataka o klijentu kako bi se mogli razviti interni modeli procjene kreditnog rizika. U ovoj disertaciji se predlaže novi cjeloviti pristup brizi o korisniku korištenjem dubinske analize podataka nad podacima prikupljenim u svrhu zadovoljenja smjernica Basel II sporazuma. Predlaže se nova metoda analize podataka te nove metode ocjenjivanja i unaprjedenja kvalitete podataka. Uz predložene metode rukovanja ekstremnim vrijednostima, u disertaciji se diskutira i integracija predloženog pristupa s implementacijom smjernica sporazuma Basel II. Definira se i sustav za cjeloviti pristup korisniku kao i predložene primjene tehnika dubinske analize podataka u sustavu.
Abstract (english)	Basel II Capital Accord guidelines require repositories of aggregated, customer centric historical data for internal credit risk model development. In this dissertation a new holistic approach to customer relationship management is proposed. This approach uses data mining techniques of data gathered for the purposes of Basel II. Also, a new method for data analysis is proposed, as well as new methods for improving and assessing data quality. The dissertation proposes methods for dealing with outliers and discusses the application of the proposed approach with the implementation of a Basel II compliant architecture. A new system for customer relationship management is proposed and the application of data mining techniques in such a system is discussed.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:050142
Project	Number: 036-0361983-2022 Title: Održivi razvoj informacijskih sustava Leader: Krešimir Fertalj Jurisdiction: Croatia Funder: MZOS Funding stream: ZP
Project	Number: 036-0361983-3137 Title: Optimiranje i upravljanje rizicima u informacijskim sustavima Leader: Damir Kalpić Jurisdiction: Croatia Funder: MZOS Funding stream: ZP
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Catalog URL	http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=33347
Type of resource	Text
Extent	162 str.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2020-03-24 12:09:03