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 I / edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 13935)
データ種別 | 電子ブック |
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版 | 1st ed. 2023. |
出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
出版年 | 2023 |
大きさ | XVII, 559 p. 156 illus., 132 illus. in color : online resource |
著者標目 | Kashima, Hisashi editor Ide, Tsuyoshi editor Peng, Wen-Chih editor SpringerLink (Online service) |
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一般注記 | 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 HTTP:URL=https://doi.org/10.1007/978-3-031-33374-3 |
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件 名 | LCSH:Artificial intelligence LCSH:Algorithms LCSH:Education—Data processing LCSH:Computer science—Mathematics LCSH:Computer vision LCSH:Computer engineering LCSH:Computer networks FREE:Artificial Intelligence FREE:Design and Analysis of Algorithms FREE:Computers and Education FREE:Mathematics of Computing FREE:Computer Vision FREE:Computer Engineering and Networks |
分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
書誌ID | EB00002017 |
ISBN | 9783031333743 |
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