Skip to main content

Advanced Analytics and Learning on Temporal Data

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

  • Conference proceedings
  • Nov 2024
  • Latest edition

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)

Buy print copy

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

  • Orange Labs, Lannion, France

    Vincent Lemaire

  • School of Computer Science, University College Dublin, Dublin, Ireland

    Georgiana Ifrim

  • School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom

    Anthony Bagnall

  • Université Claude Bernard Lyon, Villeurbanne, France

    Thomas Guyet

  • University of Rennes, Rennes Cedex, France

    Simon Malinowski

  • Université de Rennes 2, Rennes, France

    Romain Tavenard

  • Department of Computer Science, Humboldt University of Berlin, Berlin, Germany

    Patrick Schäfer

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

Publish with us