Data Science and Machine Learning 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings /

This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are o...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Benavides-Prado, Diana (Golygydd), Erfani, Sarah (Golygydd), Fournier-Viger, Philippe (Golygydd), Boo, Yee Ling (Golygydd), Koh, Yun Sing (Golygydd)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Rhifyn:1st ed. 2024.
Cyfres:Communications in Computer and Information Science, 1943
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-981-99-8696-5
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Disgrifiad
Crynodeb:This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life. .
Disgrifiad Corfforoll:1 online resource (XII, 300 p. 94 illus.). 83 illus. in color.
ISBN:9789819986965
ISSN:1865-0937 ;
DOI:10.1007/978-981-99-8696-5