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Uporaba metod in algoritmov podatkovnega rudarjenja za ocenjevanje kreditnega tveganja : primer neposrednega posojanja
Pintarič, Peter (Author), Lončarski, Igor (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/pintaric3610-B.pdf This link opens in a new window
Language:Slovenian
Keywords:bančništvo, kreditiranje, kreditna sposobnost, boniteta, ocene, podatki, rudarjenje podatkov, algoritmi, metode, case study, Lending Club
Work type:Master's thesis/paper (mb22)
Tipology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Year:2019
Publisher:[P. Pintarič]
Number of pages:III, 64, 4 str.
UDC:004.6
COBISS.SI-ID:25395942 This link opens in a new window
Views:290
Downloads:77
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Secondary language

Language:English
Title:The use of data mining methods and algorithms for credit risk assessment: an example of peer-to-peer marketplace lending
Keywords:banking, crediting, credit rating, reliability, evaluation, data, data mining, algorithms, methods, case study, Lending Club

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