A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks ; volume:10 ; number:1 ; day:22 ; month:3 ; year:2023 ; pages:1-16 ; date:12.2023
Journal of Big Data ; 10, Heft 1 (22.3.2023), 1-16, 12.2023
- Urheber
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Park, Jungryeol
Kwon, Sundong
Jeong, Seon-Phil
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40537-023-00715-6
- URN
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urn:nbn:de:101:1-2023081110331055338272
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:56 MESZ
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Beteiligte
- Park, Jungryeol
- Kwon, Sundong
- Jeong, Seon-Phil
- SpringerLink (Online service)
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