Uporaba metod in algoritmov podatkovnega rudarjenja za ocenjevanje kreditnega tveganja : primer neposrednega posojanja

Pintarič, Peter (author), Lončarski, Igor (mentor)

• Language: Slovenian
• Keywords: bančništvo, kreditiranje, kreditna sposobnost, boniteta, ocene, podatki, rudarjenje podatkov, algoritmi, metode, case study, Lending Club
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: EF - School of Economics and Business
• Place of publishing: Ljubljana
• Publisher: [P. Pintarič]
• Year: 2019
• Number of pages: III, 64, 4 str.
• PID: 20.500.12556/RUL-113992
• UDC: 004.6
• COBISS.SI-ID: 25395942
• Publication date in RUL: 12.02.2020

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