Proceedings of the First International Conference on Data Engineering and Machine Intelligence
ICDEMI 2023
Kumar, S. Rakesh.
editor.
edt
http://id.loc.gov/vocabulary/relators/edt
Kadry, Seifedine.
editor.
edt
http://id.loc.gov/vocabulary/relators/edt
Gayathri, N.
editor.
edt
http://id.loc.gov/vocabulary/relators/edt
Chelliah, Pethuru Raj.
editor.
edt
http://id.loc.gov/vocabulary/relators/edt
SpringerLink (Online service)
text
si
2024
1st ed. 2024.
monographic
eng
access
XII, 443 p. 230 illus., 205 illus. in color. online resource.
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. .
edited by S. Rakesh Kumar, Seifedine Kadry, N. Gayathri, Pethuru Raj Chelliah.
Computational intelligence
Engineering
Data processing
Artificial intelligence
Computational Intelligence
Data Engineering
Artificial Intelligence
Q342
Springer Nature eBook
Lecture Notes in Electrical Engineering, 1261
9789819776160
https://doi.org/10.1007/978-981-97-7616-0
https://doi.org/10.1007/978-981-97-7616-0
241221
20251030114633.0
978-981-97-7616-0