© 2011

Advances in Intelligent Data Analysis X

10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings

  • João Gama
  • Elizabeth Bradley
  • Jaakko Hollmén
  • State-of-the-art research

  • Fast-track conference proceedings

  • Unique visibility

Conference proceedings IDA 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7014)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Selected Contributions

    1. Serafín Alonso, Manuel Domínguez, Miguel Angel Prada, Mika Sulkava, Jaakko Hollmén
      Pages 10-21
    2. João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas
      Pages 22-33
    3. Yakir Berchenko, Or Daliot, Nir N. Brueller
      Pages 34-42
    4. Christian Braune, Christian Borgelt, Sonja Grün
      Pages 55-66
    5. Ekaterina Buyko, Jörg Linde, Steffen Priebe, Udo Hahn
      Pages 67-79
    6. Gilles Caporossi, Christophe Leblay
      Pages 80-89
    7. José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales-Bueno
      Pages 90-100
    8. Stefano Ceccon, David Garway-Heath, David Crabb, Allan Tucker
      Pages 101-112
    9. Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven
      Pages 113-124
    10. Tamraparni Dasu, Shankar Krishnan, Gina Maria Pomann
      Pages 125-137
    11. Jeroen De Knijf, Anthony Liekens, Bart Goethals
      Pages 138-149
    12. Jelena Fiosina, Maksims Fiosins
      Pages 150-161
    13. João Gama, Petr Kosina
      Pages 162-172
    14. Joshua Garland, Elizabeth Bradley
      Pages 173-184
    15. Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
      Pages 185-197

About these proceedings


This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.


bioimage informatics genetic algorithm life science social network analysis ubiquitous knowledge discovery

Editors and affiliations

  • João Gama
    • 1
  • Elizabeth Bradley
    • 2
  • Jaakko Hollmén
    • 3
  1. 1.Faculty of Economics, LIAAD-INESC Porto, L.A.University of PortoPortoPortugal
  2. 2.Department of Computer ScienceUniversity of ColoradoBoulderUSA
  3. 3.Department of Information and Computer ScienceAalto University School of ScienceAaltoFinland

Bibliographic information