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Advanced Analytics and Learning on Temporal Data

7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Thomas Guyet

    1. Inria Grenoble - Rhône-Alpes Research Centre, Villeurbanne, France

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  2. Georgiana Ifrim

    1. University College Dublin, Dublin, Ireland

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  3. Simon Malinowski

    1. University of Rennes, Rennes, France

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  4. Anthony Bagnall

    1. University of East Anglia, Norwich, UK

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  5. Patrick Shafer

    1. University of Rennes, Rennes, France

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  6. Vincent Lemaire

    1. Orange Labs, Lannion, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13812)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AALTD 2022.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-xvi
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  2. Oral Presentation

    1. Front Matter

      Pages 1-1
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    2. Adjustable Context-Aware Transformer

      • Sepideh Koohfar, Laura Dietz
      Pages 3-17

    3. Clustering of Time Series Based on Forecasting Performance of Global Models

      • Ángel López-Oriona, Pablo Montero-Manso, José A. Vilar
      Pages 18-33

    4. Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction

      • Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
      Pages 34-49

    5. Fast Time Series Classification with Random Symbolic Subsequences

      • Thach Le Nguyen, Georgiana Ifrim
      Pages 50-65

    6. RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection

      • Naji Najari, Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia
      Pages 66-82

    7. Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark

      • Arik Ermshaus, Patrick Schäfer, Ulf Leser
      Pages 83-101

  3. Poster Presentation

    1. Front Matter

      Pages 103-103
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    2. Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River

      • Neha Pant, Durga Toshniwal, Bhola Ram Gurjar
      Pages 105-116

    3. Data Augmentation for Time Series Classification with Deep Learning Models

      • Gautier Pialla, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Germain Forestier
      Pages 117-132

    4. Dimension Selection Strategies for Multivariate Time Series Classification with HIVE-COTEv2.0

      • Alejandro Pasos Ruiz, Anthony Bagnall
      Pages 133-147

    5. EDGAR: Embedded Detection of Gunshots by AI in Real-time

      • Nathan Morsa
      Pages 148-166

    6. Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves

      • Oshana Dissanayake, Sarah McPherson, Emer Kennedy, Katie Sugrue, Muireann Conneely, Laurence Shalloo et al.
      Pages 167-180

    7. ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications

      • Niccoló Zangrando, Piero Fraternali, Rocio Nahime Torres, Marco Petri, Nicoló Oreste Pinciroli Vago, Sergio Herrera
      Pages 181-196

  4. Back Matter

    Pages 197-197
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Other volumes

  1. Advanced Analytics and Learning on Temporal Data

Keywords

About this book

This book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19–23, 2022.


The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation.

Editors and Affiliations

  • Inria Grenoble - Rhône-Alpes Research Centre, Villeurbanne, France

    Thomas Guyet

  • University College Dublin, Dublin, Ireland

    Georgiana Ifrim

  • University of Rennes, Rennes, France

    Simon Malinowski, Patrick Shafer

  • University of East Anglia, Norwich, UK

    Anthony Bagnall

  • Orange Labs, Lannion, France

    Vincent Lemaire

Bibliographic Information

  • Book Title: Advanced Analytics and Learning on Temporal Data

  • Book Subtitle: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers

  • Editors: Thomas Guyet, Georgiana Ifrim, Simon Malinowski, Anthony Bagnall, Patrick Shafer, Vincent Lemaire

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-24378-3

  • 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 2023

  • Softcover ISBN: 978-3-031-24377-6Published: 21 March 2023

  • eBook ISBN: 978-3-031-24378-3Published: 20 March 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 197

  • Number of Illustrations: 28 b/w illustrations, 58 illustrations in colour

  • Topics: Artificial Intelligence

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