Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May ... (Lecture Notes in Artificial Intelligence) - Tapa blanda

9783031333767: Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May ... (Lecture Notes in Artificial Intelligence)

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ISBN 10: 3031333764 ISBN 13: 9783031333767

Editorial: Springer, 2023

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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.

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EditorialSpringer
A�o de publicaci�n2023
ISBN 10 3031333764
ISBN 13 9783031333767
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas588
EditorKashima Hisashi, Ide Tsuyoshi, Peng Wen-Chih
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Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25�28, 2023, Proceedings, Part II

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Publicado por Springer Nature Switzerland, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Condici�n: Hervorragend. Zustand: Hervorragend | Seiten: 588 | Sprache: Englisch | Produktart: B�cher. N� de ref. del art�culo: 41758550/1

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Advances in Knowledge Discovery and Data Mining

Publicado por Springer, Berlin|Springer Nature Switzerland|Springer, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Advances in Knowledge Discovery and Data Mining: 27th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2023, Osaka, Japan, May 25-28, 2023, Proceedings

Kashima, Hisashi (Editor)/ Ide, Tsuyoshi (Editor)/ Peng, Wen-chih (Editor)

Publicado por Springer-Nature New York Inc, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Advances in Knowledge Discovery and Data Mining

Hisashi Kashima

Publicado por Springer Nature Switzerland Mai 2023, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the27th 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 withnew 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. 588 pp. Englisch. N� de ref. del art�culo: 9783031333767

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Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May ... II (Lecture Notes in Artificial Intelligence)

Publicado por Springer, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25�28, 2023, Proceedings, Part II

Hisashi Kashima

Publicado por Springer Nature Switzerland, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the27th 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 withnew 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. N� de ref. del art�culo: 9783031333767

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Advances in Knowledge Discovery and Data Mining

Hisashi Kashima

Publicado por Springer Nature Switzerland, Springer Nature Switzerland Mai 2023, 2023

ISBN 10: 3031333764 ISBN 13: 9783031333767

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Taschenbuch. Condici�n: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 588 pp. Englisch. N� de ref. del art�culo: 9783031333767

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