Cover Image

Data science and machine learning : 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26-28, 2025, proceedings /

This book constitutes the proceedings of the 23rd Australasian Conference on Data Science and Machine Learning, AusDM 2025, held in Brisbane, Australia, during November 26-28, 2025. The 37 full papers presented in this book were carefully reviewed and selected from 99 submissions. The papers are org...

Full description

Bibliographic Details
Corporate Author: AusDM (Conference) Brisbane, Qld.)
Other Authors: Nguyen, Quang Vinh, PhD (Editor), Li, Yuefeng (Editor), Kwan, Paul (Editor), Zhao, Yanchang (Editor), Boo, Yee Ling (Editor), Nayak, Richi (Editor)
Format: Conference Proceeding eBook
Language:English
Published: Singapore : Springer, [2026]
Series:Communications in computer and information science ; 2765.
Subjects:
Data mining > Congresses.
Data mining.
Artificial intelligence.
Computer vision.
Education > Data processing.
Computer science > Mathematics.
Exploration de données (Informatique)
Intelligence artificielle.
Vision par ordinateur.
Éducation > Informatique.
Informatique > Mathématiques.
Exploration de données (Informatique) > Congrès.
artificial intelligence.
Electronic books.
proceedings (reports)
Conference papers and proceedings.
Actes de congrès.
Description
Summary:This book constitutes the proceedings of the 23rd Australasian Conference on Data Science and Machine Learning, AusDM 2025, held in Brisbane, Australia, during November 26-28, 2025. The 37 full papers presented in this book were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: (1) Federated, Adaptive and Trustworthy Machine Learning; (2) Environment, Information Security and Productivity; (3) Deep Learning Fusion and Vision; (4) Health and Social Good and (5) Knowledge-Driven and Domain Specific AI. They deal with topics around data science, machine learning and also AI in everyday life.
Item Description:Conference proceedings.
Includes author index.
Physical Description:1 online resource (xvi, 562 pages) : illustrations (chiefly color).
ISBN:9789819567867 (electronic bk.)
9819567866