Advances in Intelligent Data Analysis XIII

13th International Symposium, IDA 2014, Leuven, Belgium, October 30 – November 1, 2014. Proceedings

  • Hendrik Blockeel
  • Matthijs van Leeuwen
  • Veronica Vinciotti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8819)

Table of contents

  1. Front Matter
  2. Selected Contributions

    1. Blake Anderson, Terran Lane, Curtis Hash
      Pages 1-12
    2. Argimiro Arratia, Alejandra Cabaña, Enrique M. Cabaña
      Pages 13-24
    3. Christian Borgelt, David Picado-Muiño
      Pages 37-48
    4. Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan et al.
      Pages 49-60
    5. Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters
      Pages 61-71
    6. Bernard de Bono, Pierre Grenon, Michiel Helvensteijn, Joost Kok, Natallia Kokash
      Pages 72-83
    7. Élise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
      Pages 84-95
    8. Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng
      Pages 108-119
    9. Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn
      Pages 120-130
    10. Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira
      Pages 131-142
    11. Mohammad Jaber, Panagiotis Papapetrou, Sven Helmer, Peter T. Wood
      Pages 143-154
    12. Kavitha Karimbi Mahesh, Luís Gomes, José Gabriel P. Lopes
      Pages 167-178
    13. Alexios Kotsifakos, Panagiotis Papapetrou
      Pages 179-191
    14. Charlotte Laclau, Mohamed Nadif
      Pages 192-202
    15. Nuno Moniz, Luís Torgo, Fátima Rodrigues
      Pages 215-226

About these proceedings

Introduction

This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November 2014 in Leuven, Belgium. The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.

Keywords

big data classification clustering data mining genetic algorithms information technology information theory knowledge integration malware medical data mining online learning ontologies probabilistic reasoning recommendation search engine sequential rule mining supervised learning text mining topic models

Editors and affiliations

  • Hendrik Blockeel
    • 1
  • Matthijs van Leeuwen
    • 1
  • Veronica Vinciotti
    • 2
  1. 1.Department of Computer ScienceKU LeuvenHeverleeBelgium
  2. 2.Brunel UniversityUxbridgeUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12571-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12570-1
  • Online ISBN 978-3-319-12571-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book