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

9783031333828: 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

ISBN 10: 3031333829 ISBN 13: 9783031333828

Editorial: Springer, 2023

Ver todas las copias de esta edici�n del ISBN

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.

"Sinopsis" puede pertenecer a otra edici�n de este libro.

EditorialSpringer
A�o de publicaci�n2023
ISBN 10 3031333829
ISBN 13 9783031333828
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas372
EditorKashima Hisashi, Ide Tsuyoshi, Peng Wen-Chih
Contacto del fabricanteno disponible

Comprar nuevo

Ver este art�culo

EUR 64,19

Convertir moneda

EUR 11,00 gastos de env�o desde Alemania a Espa�a

Destinos, gastos y plazos de env�o

A�adir al carrito

Resultados de la b�squeda para Advances in Knowledge Discovery and Data Mining: 27th...

Imagen del vendedor

Advances in Knowledge Discovery and Data Mining

Hisashi Kashima

Publicado por Springer Nature Switzerland Mai 2023, 2023

ISBN 10: 3031333829 ISBN 13: 9783031333828

Nuevo Taschenbuch

Impresi�n bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

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. 372 pp. Englisch. N� de ref. del art�culo: 9783031333828

Contactar al vendedor

Comprar nuevo

EUR 64,19

Convertir moneda

Gastos de env�o: EUR 11,00

De Alemania a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen del vendedor

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 IV

Hisashi Kashima

Publicado por Springer Nature Switzerland, 2023

ISBN 10: 3031333829 ISBN 13: 9783031333828

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

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: 9783031333828

Contactar al vendedor