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Multiple classifier systems based on directed attribute selection in credit risk assessment
Following the previous authors researches, this doctoral dissertation is the next step in creditrisk classification research. Based on observations of behavior that can be found in nature andsociety, the idea of combining experts decisions has gained significant importance inresearch community, especially in the area of data classification. Increasing focus of researchers as well as promising find…
Contributeurs
- Kliček, Božidar
Créateur
- Oreški, Goran
Éditeur
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Thème
- data classification
- attribute selection
- multiple classifier systems
- ensemblethinning
- credit risk
- wisdom of the crowds
- 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
- 2016-06-01
- 2016-06-01
Contributeurs
- Kliček, Božidar
Créateur
- Oreški, Goran
Éditeur
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Thème
- data classification
- attribute selection
- multiple classifier systems
- ensemblethinning
- credit risk
- wisdom of the crowds
- 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
- 2016-06-01
- 2016-06-01
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:3282
- https://urn.nsk.hr/urn:nbn:hr:211:604115
- https://repozitorij.unizg.hr/islandora/object/foi:3282
- https://dr.nsk.hr/islandora/object/foi%3A3282/datastream/TN/view/
Format
- application/pdf
Langue
- hrv
Pays fournisseur
- Croatia
Nom de la collection
Première publication sur Europeana
- 2019-04-05T13:44:05.855Z
Dernière mise à jour de l'Institution partenaire
- 2019-04-05T13:44:05.855Z