國立高雄大學圖資館 |

登入

回首頁

Proceedings of the first International Conference on Data Engineering and Machine IntelligenceICDEMI 2023 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the first International Conference on Data Engineering and Machine Intelligenceedited by S. Rakesh Kumar ... [et al.].
其他題名:	ICDEMI 2023 /
其他題名:	ICDEMI 2023
其他作者:	Kumar, S. Rakesh.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xii, 443 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-981-97-7616-0
ISBN:	9789819776160$q(electronic bk.)

Proceedings of the first International Conference on Data Engineering and Machine IntelligenceICDEMI 2023 /
Proceedings of the first International Conference on Data Engineering and Machine IntelligenceICDEMI 2023 /[electronic resource] :ICDEMI 2023edited by S. Rakesh Kumar ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xii, 443 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 12611876-1119 ;. - Lecture notes in electrical engineering ;v.132..

This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.

ISBN: 9789819776160$q(electronic bk.)

Standard No.: 10.1007/978-981-97-7616-0doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Proceedings of the first International Conference on Data Engineering and Machine IntelligenceICDEMI 2023 /
LDR:01846nmm a2200337 a 4500 001 673370
003 DE-He213
005 20241221115239.0
006 m d
007 cr nn 008maaau
008 250422s2024 si s 0 eng d
020 $a 9789819776160$q(electronic bk.)
020 $a 9789819776153$q(paper)
024 7 $a 10.1007/978-981-97-7616-0 $2 doi
035 $a 978-981-97-7616-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .I61 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Proceedings of the first International Conference on Data Engineering and Machine Intelligence $h [electronic resource] : $b ICDEMI 2023 / $c edited by S. Rakesh Kumar ... [et al.].
246 3 $a ICDEMI 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xii, 443 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 1261
520 $a This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.
650 0 $a Machine learning $v Congresses. $3 384498
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Kumar, S. Rakesh. $3 986908
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.132. $3 545003
856 4 0 $u https://doi.org/10.1007/978-981-97-7616-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)