Advertisement

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I

  • Dimitrios Gunopulos
  • Thomas Hofmann
  • Donato Malerba
  • Michalis Vazirgiannis

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6911)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6911)

Table of contents

  1. Front Matter
  2. Invited Talks (Abstracts)

  3. Industrial Invited Talks (Abstracts)

  4. Regular Papers

    1. Riad Akrour, Marc Schoenauer, Michele Sebag
      Pages 12-27
    2. Kais Allab, Khalid Benabdeslem
      Pages 28-43
    3. Hélio Almeida, Dorgival Guedes, Wagner Meira Jr., Mohammed J. Zaki
      Pages 44-59
    4. Samir Al-Stouhi, Chandan K. Reddy
      Pages 60-75
    5. Aris Anagnostopoulos, George Brova, Evimaria Terzi
      Pages 76-91
    6. Rajul Anand, Chandan K. Reddy
      Pages 92-107
    7. Gerasimos S. Antzoulatos, Michael N. Vrahatis
      Pages 108-123
    8. Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler
      Pages 140-155
    9. Borja Balle, Ariadna Quattoni, Xavier Carreras
      Pages 156-171
    10. Aurélien Bellet, Amaury Habrard, Marc Sebban
      Pages 188-203
    11. Khalid Benabdeslem, Mohammed Hindawi
      Pages 204-218
    12. Alberto Bertoni, Marco Frasca, Giorgio Valentini
      Pages 219-234
    13. Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer
      Pages 235-248
    14. Gianluca Bontempi, Olivier Caelen
      Pages 249-262
    15. Róbert Busa-Fekete, Balázs Kégl, Tamás Éltető, György Szarvas
      Pages 263-279
    16. Tianyu Cao, Xindong Wu, Tony Xiaohua Hu, Song Wang
      Pages 280-295
    17. Changyou Chen, Lan Du, Wray Buntine
      Pages 296-311
    18. Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park
      Pages 312-327
    19. Stéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz
      Pages 343-358
    20. Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
      Pages 375-390
    21. Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad Hossein Rohban
      Pages 391-406
    22. Eraldo R. Fernandes, Ulf Brefeld
      Pages 407-422
    23. Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann
      Pages 423-438
    24. Valdinei Freire da Silva, Anna Helena Reali Costa
      Pages 439-454
    25. Benoît Frénay, Gaël de Lannoy, Michel Verleysen
      Pages 455-470
    26. Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang
      Pages 471-486
    27. Vincent Graziano, Jan Koutník, Jürgen Schmidhuber
      Pages 503-515
    28. Quanquan Gu, Zhenhui Li, Jiawei Han
      Pages 549-564
    29. Stephan Günnemann, Brigitte Boden, Thomas Seidl
      Pages 565-580
    30. Bernd Gutmann, Ingo Thon, Luc De Raedt
      Pages 581-596
    31. Roberto Guzmán-Martínez, Rocío Alaiz-Rodríguez
      Pages 597-612
    32. Robert Gwadera, Gianluca Antonini, Abderrahim Labbi
      Pages 613-628

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I
  2. European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II
  3. European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III

About these proceedings

Introduction

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.

Keywords

decision theory high-dimensional clustering natural language processing recommender systems self-organizing maps

Editors and affiliations

  • Dimitrios Gunopulos
    • 1
  • Thomas Hofmann
    • 2
  • Donato Malerba
    • 3
  • Michalis Vazirgiannis
    • 4
  1. 1.Department of Informatics and TelecommunicationsUniversity of AthensAthensGreece
  2. 2.Google Switzerland GmbHZurichSwitzerland
  3. 3.Department of Computer ScienceUniversity of Bari “Aldo Moro”BariItaly
  4. 4.Deptartment of InformaticsAthens University of Economics and BusinessAthensGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23780-5
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-23779-9
  • Online ISBN 978-3-642-23780-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Engineering