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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…
Contributors
- Kliček, Božidar
Creator
- Oreški, Goran
Publisher
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Subject
- 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 of item
- info:eu-repo/semantics/doctoralThesis
- text
Date
- 2016-06-01
- 2016-06-01
Contributors
- Kliček, Božidar
Creator
- Oreški, Goran
Publisher
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Subject
- 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 of item
- info:eu-repo/semantics/doctoralThesis
- text
Date
- 2016-06-01
- 2016-06-01
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://rightsstatements.org/vocab/InC/1.0/
Identifier
- 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
Language
- hrv
Providing country
- Croatia
Collection name
First time published on Europeana
- 2019-04-05T13:44:05.855Z
Last time updated from providing institution
- 2019-04-05T13:44:05.855Z