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Advances in Intelligent Data Analysis XXIII

23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7–9, 2025, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Georg Krempl

    1. Utrecht University, Utrecht, The Netherlands

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  2. Kai Puolamäki

    1. University of Helsinki, Helsinki, Finland

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    You can also search for this editor in PubMed   Google Scholar

  3. Ioanna Miliou

    1. Stockholm University, Kista, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15669)

Included in the following conference series:

Conference proceedings info: IDA 2025.

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About this book

This volume constitutes the proceedings of the 23rd International Symposium on Intelligent Data Analysis, IDA 2025, which was held in Konstanz, Germany, during May 7–9, 2025.

The 35 full papers included in the proceedings were carefully reviewed and selected from 91 submissions. They were organized in topical sections as follows: Applications of data science, foundations of data science; natural language processing; temporal and streaming data; and explainable and interpretable data science. 

Keywords

Table of contents (35 papers)

  1. Front Matter

    Pages i-xvi
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  2. Applications of Data Science

    1. Front Matter

      Pages 1-1
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    2. Credal Knowledge Tracing for Imprecise and Uncertain MCQ

      • Dorra Sassi, Constance Thierry, David Gross-Amblard
      Pages 3-16

    3. Development of Models to Quantify Training Load in Outdoor Running Using Inertial Sensors

      • Bouke L. Scheltinga, Jasper Reenalda, Jaap H. Buurke, Joost N. Kok
      Pages 17-27

    4. Estimating the Learning Capacity of Bacterial Metabolic Networks

      • Bastien Mollet, Paul Ahavi, Antoine Cornuéjols, Jean-Loup Faulon, Evelyne Lutton, Alberto Tonda
      Pages 28-40

    5. Semi-supervised Learning with Pairwise Instance Comparisons for Medical Instance Classification

      • Anne Rother, Till Ittermann, Myra Spiliopoulou
      Pages 41-53

    6. Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition

      • Ariel Basso Madjoukeng, Edith Bélise Kenmogne, Pierre Poitier, Benoît Frénay, Jérôme Fink
      Pages 54-66

    7. SiamCircle: Trajectory Representation Learning in Free Settings

      • Maedeh Nasri, Mitra Baratchi, Alexander Koutamanis, Carolien Rieffe
      Pages 67-80

    8. Synthetic Tabular Data Detection in the Wild

      • G. Charbel N. Kindji, Elisa Fromont, Lina M. Rojas-Barahona, Tanguy Urvoy
      Pages 81-96

    9. Assessing the Graph Structure Learning in Graph Deviation Networks

      • Canberk Ozen, Sławomir Nowaczyk, Prayag Tiwari, Sepideh Pashami
      Pages 97-109

  3. Foundations of Data Science

    1. Front Matter

      Pages 111-111
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    2. The When and How of Target Variable Transformations

      • Loren Nuyts, Jesse Davis
      Pages 113-126

    3. Balancing Performance and Scalability of Demand Forecasting ML Models

      • Mateusz Żarski, Sławomir Nowaczyk
      Pages 127-140

    4. Balancing Global Importance and Source Proximity for Personalized Recommendations Using Random Walk Length

      • Tsuyoshi Yamashita, Kunitake Kaneko
      Pages 141-153

    5. Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data

      • Marco Loog, Jesse H. Krijthe, Manuele Bicego
      Pages 154-166

    6. BOWSA: A Contribution of Sensitivity Analysis to Improve Bayesian Optimization for Parameter Tuning

      • Lise Kastner, Bertrand Cuissart, Jean-Luc Lamotte
      Pages 167-180

    7. Overfitting in Combined Algorithm Selection and Hyperparameter Optimization

      • Sietse Schröder, Mitra Baratchi, Jan N. van Rijn
      Pages 181-194

    8. Local Subgroup Discovery on Attributed Network Graphs

      • Carl Vico Heinrich, Tommie Lombarts, Jules Mallens, Luc Tortike, David Wolf, Wouter Duivesteijn
      Pages 195-208

    9. Imposing Constraints in Probabilistic Circuits via Gradient Optimization

      • Soroush Ghandi, Benjamin Quost, Cassio de Campos
      Pages 209-220

  4. Natural Language Processing

    1. Front Matter

      Pages 221-221
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Other volumes

  1. Advances in Intelligent Data Analysis XXIII

Editors and Affiliations

  • Utrecht University, Utrecht, The Netherlands

    Georg Krempl

  • University of Helsinki, Helsinki, Finland

    Kai Puolamäki

  • Stockholm University, Kista, Sweden

    Ioanna Miliou

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