Machine Learning and Knowledge Discovery in Databases

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

  • Toon Calders
  • Floriana Esposito
  • Eyke Hüllermeier
  • Rosa Meo

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8724)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8724)

Table of contents

  1. Front Matter
  2. Main Track Contributions

    1. Seyyed Abbas Hosseini, Hamid R. Rabiee, Hassan Hafez, Ali Soltani-Farani
      Pages 1-16
    2. Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
      Pages 17-33
    3. Mohsen Ali, Muhammad Rushdi, Jeffrey Ho
      Pages 34-49
    4. Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos
      Pages 50-65
    5. Orly Avner, Shie Mannor
      Pages 66-81
    6. Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker
      Pages 82-98
    7. Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock
      Pages 99-114
    8. Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor
      Pages 115-131
    9. Jiang Bian, Bin Gao, Tie-Yan Liu
      Pages 132-148
    10. Brigitte Boden, Martin Ester, Thomas Seidl
      Pages 149-164
    11. Antoine Bordes, Jason Weston, Nicolas Usunier
      Pages 165-180
    12. Jesús Cid-Sueiro, Darío García-García, Raúl Santos-Rodríguez
      Pages 197-210
    13. Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris Ding, Xiao Gu
      Pages 211-226
    14. David Chatel, Pascal Denis, Marc Tommasi
      Pages 242-257
    15. Nicolas Courty, Rémi Flamary, Devis Tuia
      Pages 274-289
    16. Xuan Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
      Pages 290-306

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
  2. 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/10.1007/978-3-662-44848-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-44847-2
  • Online ISBN 978-3-662-44848-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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