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Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II

Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II

Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II Paperback - 2023

by Hisashi Kashima (Editor); Tsuyoshi Ide (Editor); Wen-Chih Peng (Editor)

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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 presente
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  • Title Advances in Knowledge Discovery and Data Mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II
  • Author Hisashi Kashima (Editor); Tsuyoshi Ide (Editor); Wen-Chih Peng (Editor)
  • Binding Paperback
  • Condition New
  • Pages 567
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2023-05-28
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ria9783031333767_inp
  • ISBN 9783031333767 / 3031333764
  • Weight 1.79 lbs (0.81 kg)
  • Dimensions 9.21 x 6.14 x 1.19 in (23.39 x 15.60 x 3.02 cm)
  • Category Computers - Languages / Programming
  • Quantity available 817

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From the publisher

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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