Lung Cancer Disease Prediction Using Machine Learning Techniques (Englisch)
- Neue Suche nach: Kavila, Selvani Deepthi
- Neue Suche nach: Lakshmi, S. V. S. S. S.
- Neue Suche nach: Bandaru, Rajesh
- Neue Suche nach: Riyaz, Shaik
- Neue Suche nach: Rushikesh, Neelamsetty Sai Venkata
- Neue Suche nach: Misra, Rajiv
- Neue Suche nach: Omer, Rana
- Neue Suche nach: Rajarajan, Muttukrishnan
- Neue Suche nach: Veeravalli, Bharadwaj
- Neue Suche nach: Kesswani, Nishtha
- Neue Suche nach: Mishra, Priyanka
- Neue Suche nach: Kavila, Selvani Deepthi
- Neue Suche nach: Lakshmi, S. V. S. S. S.
- Neue Suche nach: Bandaru, Rajesh
- Neue Suche nach: Riyaz, Shaik
- Neue Suche nach: Rushikesh, Neelamsetty Sai Venkata
In:
Machine Learning and Big Data Analytics
: 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022
;
Kapitel: 41
;
501-514
;
2023
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Lung Cancer Disease Prediction Using Machine Learning Techniques
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Weitere Titelangaben:Springer Proceedings in Mathematics & Statistics
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Beteiligte:Misra, Rajiv ( Herausgeber:in ) / Omer, Rana ( Herausgeber:in ) / Rajarajan, Muttukrishnan ( Herausgeber:in ) / Veeravalli, Bharadwaj ( Herausgeber:in ) / Kesswani, Nishtha ( Herausgeber:in ) / Mishra, Priyanka ( Herausgeber:in ) / Kavila, Selvani Deepthi ( Autor:in ) / Lakshmi, S. V. S. S. S. ( Autor:in ) / Bandaru, Rajesh ( Autor:in ) / Riyaz, Shaik ( Autor:in )
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Kongress:International Conference on Machine Learning and Big Data Analytics ; 2022 ; Patna, India
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Erschienen in:Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 ; Kapitel: 41 ; 501-514Springer Proceedings in Mathematics & Statistics ; 401 ; 501-514
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:07.06.2023
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Format / Umfang:14 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:
Inhaltsverzeichnis E-Book
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