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Advances in Intelligent Data Analysis XV

15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Henrik Boström

    1. Stockholm University , Stockholm, Sweden

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  2. Arno Knobbe

    1. Leiden University , Leiden, The Netherlands

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  3. Carlos Soares

    1. University of Porto , Porto, Portugal

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  4. Panagiotis Papapetrou

    1. Stockholm University , Stockholm, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9897)

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 2016.

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Table of contents (36 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. DSCo-NG: A Practical Language Modeling Approach for Time Series Classification

    • Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
    Pages 1-13

  3. Ranking Accuracy for Logistic-GEE Models

    • Nasser Davarzani, Ralf Peeters, Evgueni Smirnov, Joël Karel, Hans-Peter Brunner-La Rocca
    Pages 14-25

  4. The Morality Machine: Tracking Moral Values in Tweets

    • Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens, Fons Verbeek
    Pages 26-37

  5. A Hybrid Approach for Probabilistic Relational Models Structure Learning

    • Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
    Pages 38-49

  6. On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks

    • Deepak Soekhoe, Peter van der Putten, Aske Plaat
    Pages 50-60

  7. Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm

    • Christian Braune, Marco Dankel, Rudolf Kruse
    Pages 61-72

  8. Visual Perception of Discriminative Landmarks in Classified Time Series

    • Tobias Sobek, Frank Höppner
    Pages 73-85

  9. Spotting the Diffusion of New Psychoactive Substances over the Internet

    • Fabio Del Vigna, Marco Avvenuti, Clara Bacciu, Paolo Deluca, Marinella Petrocchi, Andrea Marchetti et al.
    Pages 86-97

  10. Feature Selection Issues in Long-Term Travel Time Prediction

    • Syed Murtaza Hassan, Luis Moreira-Matias, Jihed Khiari, Oded Cats
    Pages 98-109

  11. A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation

    • Gianni Costa, Riccardo Ortale
    Pages 110-122

  12. Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules

    • Ricardo Sousa, João Gama
    Pages 123-133

  13. A Toolkit for Analysis of Deep Learning Experiments

    • Jim O’Donoghue, Mark Roantree
    Pages 134-145

  14. The Optimistic Method for Model Estimation

    • James Brofos, Rui Shu, Frank Zhang
    Pages 146-157

  15. Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML

    • Martijn J. Post, Peter van der Putten, Jan N. van Rijn
    Pages 158-170

  16. Learning from the News: Predicting Entity Popularity on Twitter

    • Pedro Saleiro, Carlos Soares
    Pages 171-182

  17. Multi-scale Kernel PCA and Its Application to Curvelet-Based Feature Extraction for Mammographic Mass Characterization

    • Sami Dhahbi, Walid Barhoumi, Ezzeddine Zagrouba
    Pages 183-191

  18. Weakly-Supervised Symptom Recognition for Rare Diseases in Biomedical Text

    • Pierre Holat, Nadi Tomeh, Thierry Charnois, Delphine Battistelli, Marie-Christine Jaulent, Jean-Philippe Métivier
    Pages 192-203

  19. Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data

    • Petr Ryšavý, Filip Železný
    Pages 204-214

  20. Widened Learning of Bayesian Network Classifiers

    • Oliver R. Sampson, Michael R. Berthold
    Pages 215-225
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Other volumes

  1. Advances in Intelligent Data Analysis XV

Keywords

About this book

This book constitutes the refereed conference proceedings of the 15th International Conference on Intelligent Data Analysis, which was held in October 2016 in Stockholm, Sweden.
The 36 revised full papers presented were carefully reviewed and selected from 75 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to provide a forum for inspiring research contributions that might be considered preliminary in other leading conferences and journals, but that have a potentially dramatic impact. 

Editors and Affiliations

  • Stockholm University , Stockholm, Sweden

    Henrik Boström, Panagiotis Papapetrou

  • Leiden University , Leiden, The Netherlands

    Arno Knobbe

  • University of Porto , Porto, Portugal

    Carlos Soares

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