Approaches to Improving the Accuracy of Machine Learning Models in Requirements Elicitation Techniques Selection (Englisch)
- Neue Suche nach: Gobov, Denys
- Neue Suche nach: Solovei, Olga
- Neue Suche nach: Hu, Zhengbing
- Neue Suche nach: Dychka, Ivan
- Neue Suche nach: He, Matthew
- Neue Suche nach: Gobov, Denys
- Neue Suche nach: Solovei, Olga
In:
Advances in Computer Science for Engineering and Education VI
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Kapitel: 51
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574-584
;
2023
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Approaches to Improving the Accuracy of Machine Learning Models in Requirements Elicitation Techniques Selection
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Weitere Titelangaben:Lect. Notes on Data Eng. and Comms.Technol.
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Beteiligte:Hu, Zhengbing ( Herausgeber:in ) / Dychka, Ivan ( Herausgeber:in ) / He, Matthew ( Herausgeber:in ) / Gobov, Denys ( Autor:in ) / Solovei, Olga ( Autor:in )
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Kongress:International Conference on Computer Science, Engineering and Education Applications ; 2023 ; Warsaw, Poland
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Erschienen in:Advances in Computer Science for Engineering and Education VI ; Kapitel: 51 ; 574-584
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Verlag:
- Neue Suche nach: Springer Nature Switzerland
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Erscheinungsort:Cham
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Erscheinungsdatum:19.08.2023
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Format / Umfang:11 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
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