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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.
Produkteigenschaften
- Artikelnummer: 9783031333828
- Medium: Buch
- ISBN: 978-3-031-33382-8
- Verlag: Springer
- Erscheinungstermin: 31.05.2023
- Sprache(n): Englisch
- Auflage: 1. Auflage 2023
- Serie: Lecture Notes in Computer Science
- Produktform: Kartoniert, Paperback
- Gewicht: 563 g
- Seiten: 354
- Format (B x H x T): 155 x 235 x 21 mm
- Ausgabetyp: Kein, Unbekannt