Advertisement

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I

  • Editors
  • Walter Daelemans
  • Bart Goethals
  • Katharina Morik

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5211)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5211)

Table of contents

  1. Front Matter
  2. Invited Talks (Abstracts)

  3. Machine Learning Journal Abstracts

    1. Christos Dimitrakakis, Michail G. Lagoudakis
      Pages 7-7
    2. Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri
      Pages 8-8
    3. Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik
      Pages 9-10
    4. Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich
      Pages 12-12
    5. Stijn Vanderlooy, Eyke Hüllermeier
      Pages 13-13
    6. Markus Weimer, Alexandros Karatzoglou, Alex Smola
      Pages 14-14
  4. Data Mining and Knowledge Discovery Journal Abstracts

    1. Petteri Hintsanen, Hannu Toivonen
      Pages 15-15
    2. Apostolos N. Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos
      Pages 18-18
    3. Chedy Raïssi, Toon Calders, Pascal Poncelet
      Pages 19-19
    4. Arnaud Soulet, Bruno Crémilleux
      Pages 20-21
    5. Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad
      Pages 22-22
  5. Regular Papers

    1. Rezwan Ahmed, Huzefa Rangwala, George Karypis
      Pages 23-38
    2. Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
      Pages 39-54
    3. Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng
      Pages 55-70
    4. Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
      Pages 71-85
    5. José L. Balcázar
      Pages 86-101
    6. Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong
      Pages 102-116
    7. Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao
      Pages 117-132
    8. Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton
      Pages 133-145
    9. Antoine Bordes, Nicolas Usunier, Léon Bottou
      Pages 146-161
    10. Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
      Pages 162-177
    11. Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen
      Pages 178-194
    12. Andrew Carlson, Charles Schafer
      Pages 195-210
    13. Doran Chakraborty, Peter Stone
      Pages 211-226
    14. Boris Chidlovskii, Loïc Lecerf
      Pages 227-240
    15. David A. Cieslak, Nitesh V. Chawla
      Pages 241-256
    16. Trinh-Minh-Tri Do, Thierry Artières
      Pages 272-287
    17. Jorge López, Álvaro Barbero, José R. Dorronsoro
      Pages 288-300
    18. Wouter Duivesteijn, Ad Feelders
      Pages 301-316
    19. Eric Eaton, Marie desJardins, Terran Lane
      Pages 317-332
    20. Frank Eichinger, Klemens Böhm, Matthias Huber
      Pages 333-348
    21. Ana Maria Funes, Cesar Ferri, Jose Hernández-Orallo, Maria Jose Ramírez-Quintana
      Pages 349-364
    22. Andrés Gago Alonso, José Eladio Medina Pagola, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad
      Pages 365-376
    23. Andrew B. Goldberg, Ming Li, Xiaojin Zhu
      Pages 393-407
    24. Valerio Grossi, Andrea Romei, Salvatore Ruggieri
      Pages 424-439
    25. Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel
      Pages 440-456
    26. Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond Mooney
      Pages 457-472
    27. Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt
      Pages 473-488

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I
  2. European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, 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 2008, held in Antwerp, Belgium, in September 2008.

The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 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

Averaging Support Vector Machine active learning algorithmic learning association rule mining bayesian learning case-based learning clustering distributed computing k-Means machine learning master data management performance performance evaluation reinforcement learning

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87479-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87478-2
  • Online ISBN 978-3-540-87479-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site