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Proceedings of the first Internation...

International Conference on Data Engineering and Machine Intelligence (2023 :)

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Proceedings of the first International Conference on Data Engineering and Machine Intelligence = ICDEMI 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the first International Conference on Data Engineering and Machine Intelligence/ edited by S. Rakesh Kumar ... [et al.].
Reminder of title:	ICDEMI 2023 /
remainder title:	ICDEMI 2023
other author:	Kumar, S. Rakesh.
corporate name:	International Conference on Data Engineering and Machine Intelligence
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xii, 443 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-7616-0
ISBN:	9789819776160

Proceedings of the first International Conference on Data Engineering and Machine Intelligence = ICDEMI 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. 1261..

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

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

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Proceedings of the first International Conference on Data Engineering and Machine Intelligence = ICDEMI 2023 /
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