Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, Proceedings, Part II
Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng
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.
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.
درجه (قاطیغوری(:
کال:
2023
خپرندویه اداره:
Springer
ژبه:
english
صفحه:
561
ISBN 10:
3031333764
ISBN 13:
9783031333767
لړ (سلسله):
Lecture Notes in Computer Science, 13936
فایل:
PDF, 30.49 MB
IPFS:
,
english, 2023