Hybrid techniques of combinatorial optimization based on genetic algorithms with application to feature selection in retail credit risk assessment
The purpose of this dissertation is to thoroughly investigate the overall data set available to the bank and to determine the extent to which these data can be a good basis for predicting the credit worthiness of the loan applicant. Such a prediction of the applicants ability should be done without seeking additional information from the client, assuming that the loan applicant is a lo…
Contributeurs
- Kliček, Božidar
Créateur
- Oreški, Stjepan
Éditeur
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Thème
- hybrid techniques
- classification
- feature selection
- credit risk
- genetic algorithm
- neural networks
- SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
- Computer science and technology. Computing. Data processing
Type d'item
- info:eu-repo/semantics/doctoralThesis
- text
Date
- 2014-10-14
- 2014-10-14
Contributeurs
- Kliček, Božidar
Créateur
- Oreški, Stjepan
Éditeur
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Thème
- hybrid techniques
- classification
- feature selection
- credit risk
- genetic algorithm
- neural networks
- SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
- Computer science and technology. Computing. Data processing
Type d'item
- info:eu-repo/semantics/doctoralThesis
- text
Date
- 2014-10-14
- 2014-10-14
Institution partenaire
Agrégateur
Licence du support dans cet enregistrement (sauf indication contraire)
- http://rightsstatements.org/vocab/InC/1.0/
Identificateur
- https://dr.nsk.hr/islandora/object/foi:1142
- https://urn.nsk.hr/urn:nbn:hr:211:466344
- https://repozitorij.unizg.hr/islandora/object/foi:1142
- https://dr.nsk.hr/islandora/object/foi%3A1142/datastream/TN/view/
Format
- application/pdf
Langue
- hrv
Pays fournisseur
- Croatia
Nom de la collection
Première publication sur Europeana
- 2019-04-05T13:44:09.391Z
Dernière mise à jour de l'Institution partenaire
- 2019-04-05T13:44:09.391Z