Isbn: 9789819608102 - advanced data mining and applications: 20th international conference, adma 2024, sydney, nsw, australia, december 3–5, 2024, proceedings, part i (lecture notes in artificial intelligence, band 15387) (4 Ergebnisse)

Zustand: New. In English.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 456 | Sprache: Englisch | Produktart: Bücher | 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. …

Taschenbuch. Zustand: Neu. Advanced Data Mining and Applications | 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I | Quan Z. Sheng (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xix | Englisch | 2024 | Springer | EAN 9789819608102 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference onAdvanced 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 andselected 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.…