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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 III /

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...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kashima, Hisashi (Editor), Ide, Tsuyoshi (Editor), Peng, Wen-Chih (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edición:1st ed. 2023.
Colección:Lecture Notes in Artificial Intelligence, 13937
Materias:
Artificial intelligence.
Algorithms.
Education > Data processing.
Computer science > Mathematics.
Computer vision.
Computer engineering.
Computer networks .
Artificial Intelligence.
Design and Analysis of Algorithms.
Computers and Education.
Mathematics of Computing.
Computer Vision.
Computer Engineering and Networks.
Acceso en línea:https://doi.org/10.1007/978-3-031-33380-4
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Descripción
Sumario: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.
Descripción Física:XVI, 417 p. 103 illus., 98 illus. in color. online resource.
ISBN:9783031333804
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-33380-4

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