Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II

  • Editors
  • Walter Daelemans
  • Bart Goethals
  • Katharina Morik

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5212)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5212)

Table of contents

  1. Front Matter
  2. Regular Papers

    1. Dennis Leman, Ad Feelders, Arno Knobbe
      Pages 1-16
    2. Wei-Hao Lin, Eric Xing, Alexander Hauptmann
      Pages 17-32
    3. Guimei Liu, Limsoon Wong
      Pages 33-49
    4. Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
      Pages 82-97
    5. Nam Nguyen, Yunsong Guo
      Pages 125-136
    6. XuanLong Nguyen, Ling Huang, Anthony D. Joseph
      Pages 137-153
    7. Richard Nock, Panu Luosto, Jyrki Kivinen
      Pages 154-169
    8. Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
      Pages 170-187
    9. Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu
      Pages 188-203
    10. Christian Plagemann, Kristian Kersting, Wolfram Burgard
      Pages 204-219
    11. Ulrich Rückert, Stefan Kramer
      Pages 220-233
    12. Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber
      Pages 234-249
    13. Shyamsundar Rajaram, Martin Scholz
      Pages 250-265
    14. Frédéric Ratle, Jason Weston, Matthew L. Miller
      Pages 266-281
    15. Pedro Pereira Rodrigues, João Gama, Luís Lopes
      Pages 282-297

Other volumes

  1. European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II

About these proceedings

Introduction

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008.

The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer.

The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Keywords

Bayesian network Boosting Support Vector Machine Web mining active learning algorithmic learning association rule mining bayesian learning case-based learning classification clustering data mining database machine learning reinforcement learning

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87481-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87480-5
  • Online ISBN 978-3-540-87481-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book