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.
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.

Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I
434
Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I
434Product Details
ISBN-13: | 9789819608102 |
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Publisher: | Springer Nature Singapore |
Publication date: | 12/13/2024 |
Series: | Lecture Notes in Computer Science , #15387 |
Pages: | 434 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |