Advanced Data Mining and Applications

20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I
Erscheinungsjahr 2024
ISBN: 978-981-960810-2
Verlag: Springer Nature Singapore

Buch, Englisch, Band 15387, 434 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 686 g

Reihe: Lecture Notes in Computer Science

This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3–5, 2024.

The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: -

Part I: Applications; Data mining.

Part II: Data mining foundations and algorithms; Federated learning; Knowledge graph.

Part III: Graph mining; Spatial data mining.

Part IV: Health informatics.

Part V: Multi-modal; Natural language processing.

Part VI: Recommendation systems; Security and privacy issues.

Zielgruppe

Research

Autoren/Hrsg.

Sheng, Quan Z.

Dobbie, Gill

Jiang, Jing

Zhang, Xuyun

Ma, Congbo

Zhang, Wei Emma

Manolopoulos, Yannis

Wu, Jia

Mansoor, Wathiq

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie