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 /
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...
Furkejuvvon:
| Searvvušdahkki: | |
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| Eará dahkkit: | , , , , , |
| Materiálatiipa: | Elektrovnnalaš E-girji |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Preanttus: | 1st ed. 2024. |
| Ráidu: | Lecture Notes in Artificial Intelligence,
14646 |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1007/978-981-97-2253-2 |
| Fáddágilkorat: |
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| Čoahkkáigeassu: | 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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| Olgguldas hápmi: | XXXIV, 459 p. 145 illus., 138 illus. in color. online resource. |
| ISBN: | 9789819722532 |
| ISSN: | 2945-9141 ; |
| DOI: | 10.1007/978-981-97-2253-2 |