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Knowledge Discovery in Databases: PKDD 2006

10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings

  • Johannes Fürnkranz
  • Tobias Scheffer
  • Myra Spiliopoulou

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4213)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4213)

Table of contents

  1. Short Papers

    1. Amol Ghoting, Srinivasan Parthasarathy
      Pages 511-519
    2. Attila Gyenesei, Ralph Schlapbach, Etzard Stolte, Ulrich Wagner
      Pages 528-535
    3. Jian Huang, Seyda Ertekin, C. Lee Giles
      Pages 536-544
    4. Rezarta Islamaj, Lise Getoor, W. John Wilbur
      Pages 553-560
    5. Steffen Kempe, Jochen Hipp
      Pages 569-576
    6. Arno J. Knobbe, Eric K. Y. Ho
      Pages 577-584
    7. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
      Pages 585-592
    8. Xin Li, Bing Liu, Philip S. Yu
      Pages 593-600
    9. Juho Muhonen, Hannu Toivonen
      Pages 601-608
    10. Ricardo Silva, Richard Scheines
      Pages 617-624
    11. Arun C. Surendran, Suvrit Sra
      Pages 633-640
    12. Chao Wang, Srinivasan Parthasarathy
      Pages 641-649
    13. Karina Wolfram, Andrea Porzel, Alexander Hinneburg
      Pages 650-658
  2. Back Matter

Other volumes

  1. 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings
  2. Knowledge Discovery in Databases: PKDD 2006
    10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings

About these proceedings

Introduction

The two premier annual European conferences in the areas of machine learning anddatamining havebeencollocatedeversincethejointconferenceinFreiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowledge Discovery in Databasescelebratesits tenth anniversary;the ?rst PKDD took place in 1997 in Trondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in these areas, the only one that provides a common forum for the two closely related ?elds. In 2006, the 6th collocated ECML/PKDD took place during September 18-22, when the Humboldt-Universität zu Berlin hosted the 17th European Conference on Machine Learning (ECML) and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). The successful model of a hierarchical reviewing process that was introduced last year for the ECML/PKDD 2005 in Porto has been taken over in 2006. We nominated 32 Area Chairs, each of them responsible for several closely related research topics. Suitable areas were selected on the basis of the submission s- tistics for ECML/PKDD 2005 to ensure a proper load balance among the Area Chairs. For the ?rst time, a joint Program Committee was nominated for the two conferences, consisting of 280 renowned researchers,mostly proposed by the AreaChairs.

Keywords

algorithmic learning algorithms association rule mining classification cluster analysis data analysis data mining database decision trees knowledge discovery modeling pattern mining relational database sensing visualization

Editors and affiliations

  • Johannes Fürnkranz
    • 1
  • Tobias Scheffer
    • 2
  • Myra Spiliopoulou
    • 3
  1. 1.Knowledge Engineering GroupTechnische Universität Darmstadt 
  2. 2.Max Planck Institute for Computer ScienceSaarbrückenGermany
  3. 3.Faculty of Computer ScienceOtto-von-Guericke-University MagdeburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/11871637
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-45374-1
  • Online ISBN 978-3-540-46048-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site