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Advances in Knowledge Discovery and Data Mining: 28th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II

Advances in Knowledge Discovery and Data Mining: 28th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II

Advances in Knowledge Discovery and Data Mining: 28th Pacific-asia Conference on
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Advances in Knowledge Discovery and Data Mining: 28th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II Paperback - 2024

by Yang, De-nian (Editor)/ Xie, Xing (Editor)/ Tseng, Vincent S. (Editor)/ Pei, Jian (Editor)/ Huang, Jen-wei (Editor)

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Springer-Nature New York Inc, 2024. Paperback. New. 493 pages. 9.25x6.10x9.21 inches.
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  • Title Advances in Knowledge Discovery and Data Mining: 28th Pacific-asia Conference on Knowledge Discovery and Data Mining, Pakdd 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II
  • Author Yang, De-nian (Editor)/ Xie, Xing (Editor)/ Tseng, Vincent S. (Editor)/ Pei, Jian (Editor)/ Huang, Jen-wei (Editor)
  • Binding Paperback
  • Condition New
  • Pages 459
  • Volumes 1
  • Language ENG
  • Publisher Springer-Nature New York Inc
  • Publication date 2024
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-9819722527
  • ISBN 9789819722525 / 9819722527
  • Weight 1.52 lbs (0.69 kg)
  • Dimensions 9.21 x 6.14 x 1 in (23.39 x 15.60 x 2.54 cm)
  • Category Computers - General Information
  • Quantity available 2

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From the publisher

The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7-10, 2024.

The 177 papers presented in these proceedings were carefully reviewed and selected from 720 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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