© 2016

Advances in Intelligent Data Analysis XV

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

  • Henrik Boström
  • Arno Knobbe
  • Carlos Soares
  • Panagiotis Papapetrou
Conference proceedings IDA 2016

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

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9897)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
    Pages 1-13
  3. Nasser Davarzani, Ralf Peeters, Evgueni Smirnov, Joël Karel, Hans-Peter Brunner-La Rocca
    Pages 14-25
  4. Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens, Fons Verbeek
    Pages 26-37
  5. Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor
    Pages 38-49
  6. Deepak Soekhoe, Peter van der Putten, Aske Plaat
    Pages 50-60
  7. Christian Braune, Marco Dankel, Rudolf Kruse
    Pages 61-72
  8. Fabio Del Vigna, Marco Avvenuti, Clara Bacciu, Paolo Deluca, Marinella Petrocchi, Andrea Marchetti et al.
    Pages 86-97
  9. Syed Murtaza Hassan, Luis Moreira-Matias, Jihed Khiari, Oded Cats
    Pages 98-109
  10. Jim O’Donoghue, Mark Roantree
    Pages 134-145
  11. James Brofos, Rui Shu, Frank Zhang
    Pages 146-157
  12. Martijn J. Post, Peter van der Putten, Jan N. van Rijn
    Pages 158-170
  13. Pedro Saleiro, Carlos Soares
    Pages 171-182
  14. Pierre Holat, Nadi Tomeh, Thierry Charnois, Delphine Battistelli, Marie-Christine Jaulent, Jean-Philippe Métivier
    Pages 192-203
  15. Oliver R. Sampson, Michael R. Berthold
    Pages 215-225

About these proceedings


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. 


data mining evolving networks graph mining machine learning social media anomaly detection biomedical texts convolutional neural networks data streams data visualization and exploration deep learning feature selection hierarchical clustering noise removal pattern mining prediction rule mining similarity text clustering transfer learning

Editors and affiliations

  • Henrik Boström
    • 1
  • Arno Knobbe
    • 2
  • Carlos Soares
    • 3
  • Panagiotis Papapetrou
    • 4
  1. 1.Stockholm University StockholmSweden
  2. 2.Leiden University LeidenThe Netherlands
  3. 3.University of Porto PortoPortugal
  4. 4.Stockholm University StockholmSweden

Bibliographic information