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Advances in Knowledge Discovery and Data Mining [electronic resource] : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I / edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng

Published
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition
1st ed. 2023.
Physical Description
XVII, 559 p. 156 illus., 132 illus. in color. online resource
Additional Creators
Kashima, Hisashi, Ide, Tsuyoshi, Peng, Wen-Chih, and SpringerLink (Online service)
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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.
Subject(s)
ISBN
9783031333743
Digital File Characteristics
text file PDF
Part Of
Springer Nature eBook
View MARC record | catkey: 41083020