Advances in Intelligent Data Analysis XI

11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings

  • Jaakko Hollmén
  • Frank Klawonn
  • Allan Tucker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7619)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Selected Contributions

    1. Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold
      Pages 23-34
    2. Renato Cordeiro de Amorim, Trevor Fenner
      Pages 35-44
    3. Renato Cordeiro de Amorim, Peter Komisarczuk
      Pages 45-55
    4. Christian Braune, Christian Borgelt, Sonja Grün
      Pages 78-89
    5. Josep Carmona, Ricard Gavaldà
      Pages 90-102
    6. Jun Chen, Mahdi Mahfouf, Chris Bingham, Yu Zhang, Zhijing Yang, Michael Gallimore
      Pages 103-113
    7. Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno Knobbe
      Pages 114-125
    8. Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
      Pages 126-138
    9. Alípio M. Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo
      Pages 139-149
    10. Christine Largeron, Christophe Moulin, Mathias Géry
      Pages 172-183
    11. Matthijs van Leeuwen, Diyah Puspitaningrum
      Pages 184-194
    12. Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, Timo Honkela
      Pages 195-206

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Analysis, IDA 2012, held in Helsinki, Finland, in October 2012. The 32 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 88 submissions. All current aspects of intelligent data analysis are addressed, including intelligent support for modeling and analyzing data from complex, dynamical systems. The papers focus on novel applications of IDA techniques to, e.g., networked digital information systems; novel modes of data acquisition and the associated issues; robustness and scalability issues of intelligent data analysis techniques; and visualization and dissemination results.

Keywords

data streams evolutionary programming genetic algorithms spatio-temporal pattern time-series prediction

Editors and affiliations

  • Jaakko Hollmén
    • 1
  • Frank Klawonn
    • 2
  • Allan Tucker
    • 3
  1. 1.Department of Information and Computer ScienceAalto University School of ScienceAaltoFinland
  2. 2.Department of Computer ScienceOstfalia University of Applied SciencesWolfenbüttelGermany
  3. 3.School of Information Systems, Computing and MathematicsBrunel UniversityUxbridgeUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-34156-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-34155-7
  • Online ISBN 978-3-642-34156-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book