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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 I /

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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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Kashima, Hisashi (Editor), Ide, Tsuyoshi (Editor), Peng, Wen-Chih (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:Lecture Notes in Artificial Intelligence, 13935
Fag:
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.
Online adgang:https://doi.org/10.1007/978-3-031-33374-3
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Beskrivelse
Summary: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.
Fysisk beskrivelse:XVII, 559 p. 156 illus., 132 illus. in color. online resource.
ISBN:9783031333743
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-33374-3

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