Advances in Knowledge Discovery and Data Mining / Lecture Notes in Computer Science Bd.13935 (PDF)
27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I
(Sprache: Englisch)
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25-28, 2023.
The 143 papers presented in these proceedings...
The 143 papers presented in these proceedings...
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Produktinformationen zu „Advances in Knowledge Discovery and Data Mining / Lecture Notes in Computer Science Bd.13935 (PDF)“
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25-28, 2023.
The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Bibliographische Angaben
- 2023, 1st ed. 2023, 559 Seiten, Englisch
- Herausgegeben: Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng
- Verlag: Springer International Publishing
- ISBN-10: 3031333748
- ISBN-13: 9783031333743
- Erscheinungsdatum: 26.05.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 42 MB
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Englisch
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