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.
Contributor(s): Kashima, Hisashi [editor.] | Ide, Tsuyoshi [editor.] | Peng, Wen-Chih [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 13935Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XVII, 559 p. 156 illus., 132 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031333743.Subject(s): Artificial intelligence | Algorithms | Education -- Data processing | Computer science -- Mathematics | Computer vision | Computer engineering | Computer networks | Artificial Intelligence | Design and Analysis of Algorithms | Computers and Education | Mathematics of Computing | Computer Vision | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: 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 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.
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