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Advanced Data Mining and Applications -

Advanced Data Mining and Applications

20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part III
Buch | Softcover
448 Seiten
2024
Springer Nature Switzerland AG (Verlag)
978-981-96-0820-1 (ISBN)
CHF 109,95 inkl. MwSt
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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.

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.

 

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo 131 Illustrations, color; 22 Illustrations, black and white; XIX, 448 p. 153 illus., 131 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Data Mining • Data Mining Algorithms • data mining applications • Data Stream • graph mining • Health Informatics • machine learning • Natural Language Processing • recommendation system • Security and Privacy Issues • Spatial Data Mining • Time Series
ISBN-10 981-96-0820-1 / 9819608201
ISBN-13 978-981-96-0820-1 / 9789819608201
Zustand Neuware
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