UID:
almahu_9949500613602882
Format:
XVII, 559 p. 156 illus., 132 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031333743
Series Statement:
Lecture Notes in Artificial Intelligence, 13935
Content:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031333736
Additional Edition:
Printed edition: ISBN 9783031333750
Language:
English
DOI:
10.1007/978-3-031-33374-3
URL:
https://doi.org/10.1007/978-3-031-33374-3