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Predicting loan default in retail credits: the case of indonesian market
Semantics, Cybersecurity & Services (SCS)
UT
Faculties
EEMCS
Disciplines & departments
SCS
Education
Assignments
Finished Assignments
Finished Master Assignments
Predicting loan default in retail credits: the case of indonesian market
Predicting loan default in retail credits: the case of indonesian market
Master Assignment Services AND Cyber-Security (SCS)
Title: Predicting loan default in retail credits: the case of indonesian market
Type: Master BIT
Period: 30 July 2017 - 31 January 2018
Student: Muhammad Y.M. Haq
Supervisors:
Dr. C. Amrit
Dr. N. Sikkel
https://purl.utwente.nl/essays/74475
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