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
Conference proceedings ECML PKDD 2014

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
    17. Yahel David, Nahum Shimkin
      Pages 307-322
    18. Sébastien Destercke, Gen Yang
      Pages 323-337
    19. Jilles S. Dibangoye, Olivier Buffet, François Charpillet
      Pages 338-353
    20. Brendan Duncan, Charles Elkan
      Pages 370-385
    21. Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
      Pages 386-401
    22. Alberto García-Durán, Antoine Bordes, Nicolas Usunier
      Pages 434-449
    23. Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
      Pages 450-465
    24. Jochen Garcke, Thomas Vanck
      Pages 466-481
    25. Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann
      Pages 482-497
    26. Derek Greene, Derek O’Callaghan, Pádraig Cunningham
      Pages 498-513
    27. Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
      Pages 514-529
    28. Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu, Yoshua Bengio
      Pages 530-546
    29. Eric Heim, Hamed Valizadegan, Milos Hauskrecht
      Pages 563-578
    30. Gao Huang, Shiji Song, Zhixiang (Eddie) Xu, Kilian Weinberger
      Pages 579-594
    31. Bo Jiang, Chris Ding, Bin Luo
      Pages 595-606
    32. Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
      Pages 623-639
    33. Dongyeop Kang, Youngja Park, Suresh N. Chari
      Pages 640-655
    34. Suleiman A Khan, Samuel Kaski
      Pages 656-671
    35. Jingu Kim, Taneli Mielikäinen
      Pages 672-687
  3. Back Matter

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


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.


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
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-662-44847-2
  • Online ISBN 978-3-662-44848-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences