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Advanced Analytics and Learning on Temporal Data

Advanced Analytics and Learning on Temporal Data 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers

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Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

Advanced Analytics and Learning on Temporal Data

9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers

Vincent Lemaire | Georgiana Ifrim | Anthony Bagnall | Thomas Guyet | Simon Malinowski | Patrick Schäfer | Romain Tavenard

Computers / Artificial Intelligence / General

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.


Publication Date: 01 January 2025
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783031770654
Format: Paperback softback
Page Count: 147

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