Discovery Science

14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings

  • Tapio Elomaa
  • Jaakko Hollmén
  • Heikki Mannila

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6926)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6926)

Table of contents

  1. Front Matter
  2. Yoshua Bengio, Olivier Delalleau
    Pages 1-1
  3. Eyke Hüllermeier, Johannes Fürnkranz
    Pages 2-17
  4. Peter Auer, Shiau Hong Lim, Chris Watkins
    Pages 29-29
  5. Jorma Rissanen
    Pages 30-30
  6. Nicola Barile, Ad Feelders
    Pages 31-45
  7. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer
    Pages 46-60
  8. Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara
    Pages 61-75
  9. Jeroen De Knijf, Anthony Liekens, Bart Goethals
    Pages 76-90
  10. Dongsheng Duan, Yuhua Li, Ruixuan Li, Zhengding Lu, Aiming Wen
    Pages 91-106
  11. Sami Hanhijärvi
    Pages 122-134
  12. Hiroshi Hirai, Bin-Hui Chou, Einoshin Suzuki
    Pages 135-149
  13. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
    Pages 150-164
  14. Nada Lavrač, Anže Vavpetič, Larisa Soldatova, Igor Trajkovski, Petra Kralj Novak
    Pages 165-178
  15. Yannick Le Bras, Philippe Lenca, Stéphane Lallich
    Pages 179-193
  16. Huma Lodhi, David Gilbert
    Pages 194-208
  17. Jake T. Lussier, Nitesh V. Chawla
    Pages 209-220
  18. Oleksiy Mazhelis, Indrė Žliobaitė, Mykola Pechenizkiy
    Pages 221-235

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory.
The 24 revised full papers presented together with 5 invited lectures were carefully revised and selected from 56 submissions. The papers cover a wide range including the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery.

Keywords

autonomous exploration data mining kernel methods social network analysis user interface

Editors and affiliations

  • Tapio Elomaa
    • 1
  • Jaakko Hollmén
    • 2
  • Heikki Mannila
    • 3
  1. 1.Department of Software SystemsTampere University of TechnologyTampereFinland
  2. 2.Department of Information and Computer ScienceAalto University School of ScienceAaltoFinland
  3. 3.Helsinki Institute for Information Technology (HIIT)Finland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-24477-3
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-24476-6
  • Online ISBN 978-3-642-24477-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book