Advances in Knowledge Discovery and Data Mining

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Details

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 2528, 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.

Klappentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031333767
    • Genre Information Technology
    • Editor Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng
    • Lesemotiv Verstehen
    • Anzahl Seiten 588
    • Größe H235mm x B155mm x T32mm
    • Jahr 2023
    • EAN 9783031333767
    • Format Kartonierter Einband
    • ISBN 3031333764
    • Veröffentlichung 28.05.2023
    • Titel Advances in Knowledge Discovery and Data Mining
    • Untertitel 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II
    • Gewicht 879g
    • Herausgeber Springer
    • Sprache Englisch

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