Advanced Analytics and Learning on Temporal Data 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers /
This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers...
Uloženo v:
| Korporativní autor: | |
|---|---|
| Další autoři: | , , , , , , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Vydání: | 1st ed. 2025. |
| Edice: | Lecture Notes in Artificial Intelligence,
15433 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-77066-1 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification. |
|---|---|
| Fyzický popis: | IX, 147 p. 56 illus., 54 illus. in color. online resource. |
| ISBN: | 9783031770661 |
| ISSN: | 2945-9141 ; |
| DOI: | 10.1007/978-3-031-77066-1 |