Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1943)
Included in the following conference series:
Conference proceedings info: AusDM 2023.
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About this book
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.
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.
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Keywords
- artificial intelligence
- data science
- applied computing
- data analytics
- computer security
- computer vision
- correlation analysis
- data mining
- databases
- decision trees
- Human-Computer Interaction (HCI)
- image processing
- information retrieval
- knowledge-based system
- machine learning
- Natural Language Processing (NLP)
- natural languages
- pattern recognition
- semantics
Table of contents (20 papers)
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Front Matter
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Research Track
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Front Matter
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Application Track
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Front Matter
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Other volumes
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Data Science and Machine Learning
Editors and Affiliations
Bibliographic Information
Book Title: Data Science and Machine Learning
Book Subtitle: 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings
Editors: Diana Benavides-Prado, Sarah Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-99-8696-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-99-8695-8Published: 05 December 2023
eBook ISBN: 978-981-99-8696-5Published: 04 December 2023
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XII, 300
Number of Illustrations: 11 b/w illustrations, 83 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Computers and Education, Mathematics of Computing