1.

Record Nr.

UNISA996635669303316

Autore

Sheng Quan Z

Titolo

Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part II / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819608140

9819608147

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (447 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15388

Altri autori (Persone)

DobbieGill

JiangJing

ZhangXuyun

ZhangWei Emma

ManolopoulosYannis

WuJia

MansoorWathiq

MaCongbo

Disciplina

006.312

Soggetti

Data mining

Artificial intelligence

Application software

Computer systems

Education - Data processing

Computer vision

Data Mining and Knowledge Discovery

Artificial Intelligence

Computer and Information Systems Applications

Computer System Implementation

Computers and Education

Computer Vision

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Sommario/riassunto

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. .