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Knowledge Discovery in Databases: PKDD 2007

11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007. Proceedings

  • Editors
  • Joost N. Kok
  • Jacek Koronacki
  • Ramon Lopez de Mantaras
  • Stan Matwin
  • Dunja Mladenič
  • Andrzej Skowron

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4702)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4702)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Long Papers

    1. Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
      Pages 30-41
    2. Toon Calders, Szymon Jaroszewicz
      Pages 42-53
    3. Sanmay Das, Milton H. Saier Jr., Charles Elkan
      Pages 54-66
    4. Andrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski
      Pages 67-78
    5. Benjamin Georgi, Jörg Schultz, Alexander Schliep
      Pages 79-90
    6. Ling Guo, Songtao Guo, Xintao Wu
      Pages 103-114
    7. Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka
      Pages 127-139
    8. Ashraf M. Kibriya, Eibe Frank
      Pages 140-151
    9. Aleksander Kołcz, Wen-tau Yih
      Pages 152-163
    10. Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
      Pages 164-175
    11. Daniel Lowd, Pedro Domingos
      Pages 200-211
    12. Sandeepkumar Satpal, Sunita Sarawagi
      Pages 224-235
    13. Tomáš Šingliar, Miloš Hauskrecht
      Pages 236-247
    14. Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles
      Pages 248-264
    15. Antti Ukkonen, Heikki Mannila
      Pages 265-276
    16. Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper
      Pages 288-299
    17. Alexandre Vautier, Marie-Odile Cordier, René Quiniou
      Pages 300-311
    18. Dikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu
      Pages 324-335
  4. Short Papers

    1. Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari
      Pages 350-357
    2. Luís A. Alexandre, João Casteleiro, Nuno Nobreinst
      Pages 358-365
    3. Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.
      Pages 366-373
    4. Adriana Birlutiu, Tom Heskes
      Pages 374-381
    5. Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
      Pages 382-389
    6. Michelangelo Ceci, Annalisa Appice, Donato Malerba
      Pages 390-397
    7. Victor Eruhimov, Vladimir Martyanov, Eugene Tuv
      Pages 414-421
    8. Dominique Fournier, Gaële Simon, Bruno Mermet
      Pages 422-429
    9. Arianna Gallo, Tijl De Bie, Nello Cristianini
      Pages 438-445
    10. João Gama, Pedro Pereira Rodrigues
      Pages 446-453
    11. Zhiguo Gong, Jingbai Zhang, Qian Liu
      Pages 454-461
    12. Hongyu Guo, Herna L. Viktor, Eric Paquet
      Pages 462-470
    13. Petteri Hintsanen
      Pages 471-478

Other volumes

  1. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings
  2. Knowledge Discovery in Databases: PKDD 2007
    11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007. Proceedings

About these proceedings

Introduction

The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17–21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir?nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase.

Keywords

algorithmic learning association rule mining bayesian learning classification clustering data analysis data mining database decision trees information retrieval kernel methods knowledge discovery learning learning classifier systems machine learning

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74976-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74975-2
  • Online ISBN 978-3-540-74976-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site