Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II

  • Toon Calders
  • Floriana Esposito
  • Eyke Hüllermeier
  • Rosa Meo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8725)

Table of contents

  1. Front Matter
  2. Main Track Contributions

    1. Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa
      Pages 1-17
    2. Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines
      Pages 34-49
    3. Finn Kuusisto, Vitor Santos Costa, Houssam Nassif, Elizabeth Burnside, David Page, Jude Shavlik
      Pages 50-65
    4. Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont
      Pages 82-97
    5. Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
      Pages 98-113
    6. Matthijs van Leeuwen, Antti Ukkonen
      Pages 114-129
    7. Joël Legrand, Ronan Collobert
      Pages 130-144
    8. Yang Lei, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey
      Pages 145-160
    9. Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu
      Pages 177-192
    10. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
      Pages 193-208
    11. Zachary C. Lipton, Charles Elkan, Balakrishnan Naryanaswamy
      Pages 225-239
    12. Viliam Lisý, Robert Kessl, Tomáš Pevný
      Pages 240-255
    13. Tengfei Liu, Nevin L. Zhang, Peixian Chen
      Pages 256-272
    14. Xianghang Liu, Xinhua Zhang, Tibério Caetano
      Pages 273-289

Other volumes

  1. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II
  3. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III

About these proceedings

Introduction

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Keywords

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search reinforcement learning social recommendation supervised learning unsupervised learning web mining

Editors and affiliations

  • Toon Calders
    • 1
  • Floriana Esposito
    • 2
  • Eyke Hüllermeier
    • 3
  • Rosa Meo
    • 4
  1. 1.Faculty of Applied Sciences,Department of Computer and Decision EngineeringUniversité Libre de BruxellesBrusselsBelgium
  2. 2.Dipartimento di InformaticaUniversità degli Studi “Aldo Moro”BariItaly
  3. 3.Department of Computer ScienceUniversität PaderbornPaderbornGermany
  4. 4.Dipartimento di InformaticaUniversità degli Studi di TorinoTorinoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-44851-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-44850-2
  • Online ISBN 978-3-662-44851-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book