Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15433)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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About this book
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.
Keywords
- Data mining
- Time series analysis
- Spatial temporal systems
- Data streaming
- Supervised learning by classification
- Classification and regression trees
- Batch learning
- Instance-based learning
- Boosting
- Forecasting
Authors, Editors and Affiliations
Bibliographic Information
Book Title: Advanced Analytics and Learning on Temporal Data
Book Subtitle: 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers
Authors: Patrick Schäfer
Editors: Vincent Lemaire, Georgiana Ifrim, Anthony Bagnall, Thomas Guyet, Simon Malinowski, Romain Tavenard
Series Title: Lecture Notes in Computer Science
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-77065-4Due: 14 December 2024
eBook ISBN: 978-3-031-77066-1Due: 14 December 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 134