Advances in Knowledge Discovery and Data Mining [electronic resource] : 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V / edited by De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin.
Contributor(s): Yang, De-Nian [editor.]
| Xie, Xing [editor.] | Tseng, Vincent S [editor.] | Pei, Jian [editor.] | Huang, Jen-Wei [editor.] | Lin, Jerry Chun-Wei [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 14649Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XXXIV, 404 p. 132 illus., 127 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819722624.Subject(s): Artificial intelligence | Algorithms | Education -- Data processing | Computer science -- Mathematics | Signal processing | Computer networks | Artificial Intelligence | Design and Analysis of Algorithms | Computers and Education | Mathematics of Computing | Signal, Speech and Image Processing | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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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