OPAC

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
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)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002629	Computer Scinece R0 2005-6,2022-3				9783031333743

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
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