Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining [electronic resource] : edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng. - 1st ed. 2023. - Cham Springer Nature Switzerland 2023 - XVII, 567 p. 129 illus., 112 illus. in color. online resource.

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.

9783031333774


Algorithms.
Artificial intelligence.
Artificial Intelligence.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
Computer science
Computer vision.
Computer Vision.
Computers and Education.
Design and Analysis of Algorithms.
Education
Mathematics of Computing.

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