Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part II /

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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Sheng, Quan Z. (Editor), Dobbie, Gill (Editor), Jiang, Jing (Editor), Zhang, Xuyun (Editor), Zhang, Wei Emma (Editor), Manolopoulos, Yannis (Editor), Wu, Jia (Editor), Mansoor, Wathiq (Editor), Ma, Congbo (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Putanga:1st ed. 2025.
Rangatū:Lecture Notes in Artificial Intelligence, 15388
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/978-981-96-0814-0
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Whakaahuatanga
Whakarāpopototanga: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. .
Whakaahuatanga ōkiko:XIX, 432 p. 116 illus., 107 illus. in color. online resource.
ISBN:9789819608140
ISSN:2945-9141 ;
DOI:10.1007/978-981-96-0814-0