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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
    16. Sergio Rodrigues de Morais, Alex Aussem
      Pages 298-312
    17. Yvan Saeys, Thomas Abeel, Yves Van de Peer
      Pages 313-325
    18. Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
      Pages 326-341
    19. Xiaoxiao Shi, Wei Fan, Jiangtao Ren
      Pages 342-357
    20. Ajit P. Singh, Geoffrey J. Gordon
      Pages 358-373
    21. Yangqiu Song, Wen-Yen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
      Pages 374-389
    22. Andreas P. Streich, Joachim M. Buhmann
      Pages 390-405
    23. Masashi Sugiyama, Shinichi Nakajima
      Pages 406-422
    24. Jun Sun, Zhiyong Shen, Hui Li, Yidong Shen
      Pages 456-471
    25. Nikolaj Tatti, Hannes Heikinheimo
      Pages 472-487
    26. Matthew E. Taylor, Nicholas K. Jong, Peter Stone
      Pages 488-505
    27. Ingo Thon, Niels Landwehr, Luc De Raedt
      Pages 506-521
    28. Hamed Valizadegan, Rong Jin, Anil K. Jain
      Pages 522-537
    29. Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu
      Pages 538-549
    30. Zheng Wang, Yangqiu Song, Changshui Zhang
      Pages 550-565
    31. Xiaoxia Wang, Peter Tiňo, Mark A. Fardal
      Pages 566-581
    32. Sholom M. Weiss, Nitin Indurkhya
      Pages 582-596
    33. Michael Wynkoop, Thomas Dietterich
      Pages 597-612
    34. Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag
      Pages 628-643
    35. Yu Zhang, Dit-Yan Yeung
      Pages 644-659
  3. Demo Papers

    1. Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl
      Pages 666-671
    2. Laurent Boyer, Yann Esposito, Amaury Habrard, Jose Oncina, Marc Sebban
      Pages 672-677
    3. Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis
      Pages 678-683
    4. Wan Maseri Binti Wan Mohd, Abdullah Embong, Jasni Mohd Zain
      Pages 684-689
    5. Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer
      Pages 690-694
  4. Back Matter

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
  • Buy this book on publisher's site