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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I

  • Wray Buntine
  • Marko Grobelnik
  • Dunja Mladenić
  • John Shawe-Taylor
Conference proceedings ECML PKDD 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5781)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5781)

Table of contents

  1. Regular Papers

    1. Gregor Heinrich
      Pages 517-532
    2. Thibault Helleputte, Pierre Dupont
      Pages 533-547
    3. Arjen Hommersom, Nivea Ferreira, Peter J. F. Lucas
      Pages 548-563
    4. Tuyen N. Huynh, Raymond J. Mooney
      Pages 564-579
    5. Dino Ienco, Ruggero G. Pensa, Rosa Meo
      Pages 580-595
    6. Sebastian Jaimungal, Eddie K. H. Ng
      Pages 628-643
    7. Nicholas K. Jong, Peter Stone
      Pages 644-659
    8. Kristian Kersting, Zhao Xu
      Pages 676-691
    9. Marius Kloft, Shinichi Nakajima, Ulf Brefeld
      Pages 692-704
    10. Levente Kocsis, András György
      Pages 705-720
    11. Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
      Pages 721-735
    12. Tobias Lang, Marc Toussaint
      Pages 736-751
  2. Back Matter

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I
  2. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, 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 2009, held in Bled, Slovenia, in September 2009.

The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper 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

classification clustering data mining database graph mining information retrieval knowledge discovery machine learning neural networks privacy reinforcement learning semantic web visualization web mining

Editors and affiliations

  • Wray Buntine
    • 1
  • Marko Grobelnik
    • 2
  • Dunja Mladenić
    • 2
  • John Shawe-Taylor
    • 3
  1. 1.NICTA, Locked Bag 8001, Canberra, 2601, Australia and Helsinki Institute of IT,Finland
  2. 2.Dept. of Knowledge TechnologiesJožef Stefan InstituteLjubljanaSlovenia
  3. 3.University College London, The Centre for Computational Statistics and Machine Learning Department of Computer ScienceLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04180-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04179-2
  • Online ISBN 978-3-642-04180-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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