Advances in Knowledge Discovery and Data Mining

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128,39 

27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28,2023, Proceedings, Part III, Lecture Notes in Computer Science 13937 – Lecture Notes in Artificial Intelligence

ISBN: 3031333799
ISBN 13: 9783031333798
Herausgeber: Hisashi Kashima/Tsuyoshi Ide/Wen-Chih Peng
Verlag: Springer Verlag GmbH
Umfang: xvi, 417 S., 5 s/w Illustr., 98 farbige Illustr., 417 p. 103 illus., 98 illus. in color.
Erscheinungsdatum: 27.05.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9178998 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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