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Advances in Intelligent Data Analysis XVII

17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Wouter Duivesteijn

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  2. Arno Siebes

    1. Department of Information and Computing Sciences, University Utrecht, Utrecht, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  3. Antti Ukkonen

    1. University of Helsinki, Helsinki, Finland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11191)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDA 2018.

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About this book

This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in ‘s-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

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Table of contents (31 papers)

  1. Front Matter

    Pages I-XIII
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Elements of an Automatic Data Scientist

      • Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
      Pages 3-14

    3. The Need for Interpretability Biases

      • Johannes Fürnkranz, Tomáš Kliegr
      Pages 15-27

  3. Selected Contributions

    1. Front Matter

      Pages 29-29
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    2. Open Data Science

      • Leo Lahti
      Pages 31-39

    3. Automatic POI Matching Using an Outlier Detection Based Approach

      • Alexandre Almeida, Ana Alves, Rui Gomes
      Pages 40-51

    4. Fact Checking from Natural Text with Probabilistic Soft Logic

      • Nouf Bindris, Saatviga Sudhahar, Nello Cristianini
      Pages 52-61

    5. ConvoMap: Using Convolution to Order Boolean Data

      • Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen
      Pages 62-74

    6. Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers

      • Christoph Doell, Sarah Donohue, Cedrik Pätz, Christan Borgelt
      Pages 75-86

    7. Missing Data Imputation via Denoising Autoencoders: The Untold Story

      • Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu
      Pages 87-98

    8. Online Non-linear Gradient Boosting in Multi-latent Spaces

      • Jordan Frery, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
      Pages 99-110

    9. MDP-based Itinerary Recommendation using Geo-Tagged Social Media

      • Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld
      Pages 111-123

    10. Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization

      • Anil Goyal, Emilie Morvant, Massih-Reza Amini
      Pages 124-136

    11. Non-negative Local Sparse Coding for Subspace Clustering

      • Babak Hosseini, Barbara Hammer
      Pages 137-150

    12. Pushing the Envelope in Overlapping Communities Detection

      • Said Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais
      Pages 151-163

    13. Right for the Right Reason: Training Agnostic Networks

      • Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
      Pages 164-174

    14. Link Prediction in Multi-layer Networks and Its Application to Drug Design

      • Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux
      Pages 175-187

    15. A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis

      • Ville Laitinen, Leo Lahti
      Pages 188-199

    16. Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts

      • Marta Mercier, Miriam S. Santos, Pedro H. Abreu, Carlos Soares, Jastin P. Soares, João Santos
      Pages 200-212
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Other volumes

  1. Advances in Intelligent Data Analysis XVII

Editors and Affiliations

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Wouter Duivesteijn

  • Department of Information and Computing Sciences, University Utrecht, Utrecht, The Netherlands

    Arno Siebes

  • University of Helsinki, Helsinki, Finland

    Antti Ukkonen

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