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Database and Expert Systems Applications: DEXA 2021 Workshops BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021
Khan, Sohail [ed.]
;
Sobieczky, Florian [ed.]
;
Czech, Gerald [ed.]
;
Fischer, Lukas [ed.]
;
Martinez-Gil, Jorge [ed.]
;
Fensel, Anna [ed.]
;
Sametinger, Johannes [ed.]
;
Mashkoor, Atif [ed.]
;
Moser, Bernhard [ed.]
;
Khalil, Ismail [ed.]
;
Tjoa, A Min [ed.]
;
Kotsis, Gabriele [ed.]
English Conference proceedings (Book) Scientific
Published: Springer International Publishing, Cham, Switzerland, 252 p.
2021
Conference:
BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021 Workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021 2021-09-27 [virtual event; online conference, International]
Series:
Communications in Computer and Information Science 1865-0929 1865-0937, 1479
Identifiers
MTMT: 32872725
DOI:
10.1007/978-3-030-87101-7
ISBN:
9783030871017
ISBN:
9783030871000
Other URL:
https://link.springer.com/10.1007/978-3-030-87101-7
Chapters
Asmat Mah Noor et al. A Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems. (2021) In: Database and Expert Systems Applications: DEXA 2021 Workshops BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021 pp. 9-17
Mohsenimanesh Ahmad et al. A Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet. (2021) In: Database and Expert Systems Applications: DEXA 2021 Workshops BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021 pp. 239-249
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2025-04-25 10:02
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Citation styles:
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