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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…
Сътрудници
- Kliček, Božidar
Създател
- Oreški, Goran
Издател
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Тема
- 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
Вид на обекта
- info:eu-repo/semantics/doctoralThesis
- text
Дата
- 2016-06-01
- 2016-06-01
Сътрудници
- Kliček, Božidar
Създател
- Oreški, Goran
Издател
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Тема
- 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
Вид на обекта
- info:eu-repo/semantics/doctoralThesis
- text
Дата
- 2016-06-01
- 2016-06-01
доставчик на данни
Права за ползване на медиите в този обект (освен ако не е посочено друго)
- http://rightsstatements.org/vocab/InC/1.0/
Идентификатор
- 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/
Формат
- application/pdf
Език
- hrv
Предоставяне на държава
- Croatia
Име на колекцията
Публикуван за първи път в Europeana
- 2019-04-05T13:44:05.855Z
Последно актуализиран от предоставящата институция
- 2019-04-05T13:44:05.855Z