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. Front Matter
  2. Invited Talks (Abstracts)

  3. Machine Learning Journal Abstracts

    1. Thorsten Joachims, Chun-Nam John Yu
      Pages 8-8
    2. Jeff Johns, Marek Petrik, Sridhar Mahadevan
      Pages 9-9
    3. Alexander Liu, Goo Jun, Joydeep Ghosh
      Pages 10-10
    4. Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaiz-Rodríguez, Jesús Cid-Sueiro
      Pages 12-12
  4. Data Mining and Knowledge Discovery Journal Abstracts

    1. Leman Akoglu, Christos Faloutsos
      Pages 13-28
    2. Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis
      Pages 29-29
    3. Henrik Grosskreutz, Stefan Rüping
      Pages 30-30
    4. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
      Pages 32-32
    5. Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Orešič, Samuel Kaski
      Pages 33-33
    6. Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu
      Pages 34-34
  5. Regular Papers

    1. Tarek Abudawood, Peter Flach
      Pages 35-50
    2. Loulwah AlSumait, Daniel Barbará, James Gentle, Carlotta Domeniconi
      Pages 67-82
    3. Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven Hoi
      Pages 83-98
    4. Ai Azuma, Yuji Matsumoto
      Pages 99-114
    5. Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis
      Pages 115-130
    6. Eva Besada-Portas, Sergey M. Plis, Jesus M. de la Cruz, Terran Lane
      Pages 131-146
    7. Albert Bifet, Ricard Gavaldà
      Pages 147-162
    8. Mirko Boettcher, Martin Spott, Rudolf Kruse
      Pages 163-178
    9. Mario Boley, Henrik Grosskreutz
      Pages 179-194
    10. Jean-Cédric Chappelier, Emmanuel Eckard
      Pages 195-210
    11. Michal Aharon, Gilad Barash, Ira Cohen, Eli Mordechai
      Pages 227-243
    12. Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
      Pages 244-259
    13. Christian Desrosiers, George Karypis
      Pages 260-275
    14. Paramveer S. Dhillon, Brian Tomasik, Dean Foster, Lyle Ungar
      Pages 276-289
    15. Tom Diethe, Zakria Hussain
      Pages 290-301
    16. Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces
      Pages 302-314
    17. Huyen Do, Alexandros Kalousis, Melanie Hilario
      Pages 315-329
    18. Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
      Pages 330-343
    19. Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini
      Pages 344-358
    20. Johannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy
      Pages 359-374
    21. Murat C. Ganiz, Nikita I. Lytkin, William M. Pottenger
      Pages 375-390
    22. Alessandra Giordani, Alessandro Moschitti
      Pages 391-406
    23. Nico Görnitz, Marius Kloft, Ulf Brefeld
      Pages 407-422
    24. Derek Greene, Pádraig Cunningham
      Pages 423-438
    25. Quanquan Gu, Jie Zhou
      Pages 439-454
    26. Gokhan Gulgezen, Zehra Cataltepe, Lei Yu
      Pages 455-468
    27. Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
      Pages 469-484
    28. Huseyin Hakkoymaz, Georgios Chatzimilioudis, Dimitrios Gunopulos, Heikki Mannila
      Pages 485-500

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


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.


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
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • 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
Industry Sectors
Materials & Steel
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences