Advanced Data Mining and Applications (eBook)

20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV
Artikelnummer: 978-981-9608-40-9
Einband: PDF
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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.

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.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2024
Seitenangabe418 S.
AusgabekennzeichenEnglisch
AbbildungenXIX, 418 p. 150 illus., 137 illus. in color.
Masse58'390 KB
PlattformPDF
ReiheLecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorSheng, Quan Z. (Hrsg.) / Dobbie, Gill (Hrsg.) / Jiang, Jing (Hrsg.) / Zhang, Xuyun (Hrsg.) / Zhang, Wei Emma (Hrsg.) / Manolopoulos, Yannis (Hrsg.) / Wu, Jia (Hrsg.) / Mansoor, Wathiq (Hrsg.) / Ma, Congbo (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Quan Z. (Hrsg.) Sheng

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