Machine Learning and Knowledge Discovery in Databases

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

  • Wray Buntine
  • Marko Grobelnik
  • Dunja Mladenić
  • John Shawe-Taylor

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5782)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5782)

Table of contents

  1. Front Matter
  2. Regular Papers

    1. Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
      Pages 15-30
    2. Manuel Lopes, Francisco Melo, Luis Montesano
      Pages 31-46
    3. Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari
      Pages 47-62
    4. Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
      Pages 79-94
    5. Daniel Michulke, Michael Thielscher
      Pages 95-110
    6. Lilyana Mihalkova, Raymond Mooney
      Pages 111-127
    7. Piotr Mirowski, Yann LeCun
      Pages 128-143
    8. M. Arthur Munson, Rich Caruana
      Pages 144-159
    9. Nguyen Hoang Vu, Vivekanand Gopalkrishnan
      Pages 160-175
    10. Laurence A. F. Park, Kotagiri Ramamohanarao
      Pages 176-188
    11. Franz Pernkopf, Michael Wohlmayr
      Pages 221-237
    12. Feng Qian, Qinming He, Jiangfeng He
      Pages 238-253
    13. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
      Pages 254-269
    14. Frank Reichartz, Hannes Korte, Gerhard Paass
      Pages 270-285
    15. Achim Rettinger, Matthias Nickles, Volker Tresp
      Pages 286-301

Other volumes

  1. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    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 ITFinland
  2. 2.Dept. of Knowledge TechnologiesJožef Stefan InstituteLjubljanaSlovenia
  3. 3.The Centre for Computational Statistics and Machine Learning Department of Computer ScienceUniversity College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04174-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04173-0
  • Online ISBN 978-3-642-04174-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book