Opportunities and challenges of machine learning implementation to predict debt collection performance : master's thesis

Knechtl, Jernej (author), Jaklič, Jurij (mentor)

• Language: English
• Keywords: informatics, information technology, artificial intelligence, learning, business process, debts, algorithms
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: EF - School of Economics and Business
• Place of publishing: Ljubljana
• Publisher: [J. Knechtl]
• Year: 2020
• Number of pages: III, 65, 2 str.
• PID: 20.500.12556/RUL-124628
• UDC: 659.2:004
• COBISS.SI-ID: 40005891
• Publication date in RUL: 08.02.2021

KNECHTL, Jernej, 2020, Opportunities and challenges of machine learning implementation to predict debt collection performance : master’s thesis [online]. Master’s thesis. Ljubljana : J. Knechtl. [Accessed 9 June 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/magister/knechtl3955-B.pdf

Secondary language

• Language: Slovenian
• Title: Priložnosti in izzivi izvajanja strojnega učenja za napovedovanje uspešnosti izterjave dolgov
• Keywords: informatika, informacijska tehnologija, umetna inteligenca, izobraževanje, poslovni proces, dolgovi, algoritmi