Machine Learning and Knowledge Discovery in Databases

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

  • 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 8726)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8726)

Table of contents

  1. Front Matter
  2. Main Track Contributions

    1. Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
      Pages 1-18
    2. Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama
      Pages 19-34
    3. Konstantinos Sechidis, Borja Calvo, Gavin Brown
      Pages 66-81
    4. P. K. Srijith, Shirish Shevade
      Pages 98-113
    5. Julius Stecher, Frederik Janssen, Johannes Fürnkranz
      Pages 114-129
    6. Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava
      Pages 130-146
    7. Panagiotis Symeonidis, Christos Perentis
      Pages 147-162
    8. Nikolaj Tatti
      Pages 163-178
    9. Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior, Geyson Daniel dos Santos Silva, Roberto Souto Maior de Barros
      Pages 179-194
    10. Hasari Tosun, John W. Sheppard
      Pages 195-208
    11. Sebastian Tschiatschek, Karin Paul, Franz Pernkopf
      Pages 209-224
    12. Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Aikaterini Vrekou, Ioannis Vlahavas
      Pages 225-240
    13. Grigorios Tzortzis, Aristidis Likas
      Pages 241-257
    14. Deepak Venugopal, Vibhav Gogate
      Pages 258-273
    15. Kevin Vervier, Pierre Mahé, Alexandre D’Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert
      Pages 274-289
    16. Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han
      Pages 290-305
    17. Li Yao, Sherjil Ozair, Kyunghyun Cho, Yoshua Bengio
      Pages 322-336
    18. Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang
      Pages 337-352
    19. Guoqiang Zhang, Richard Heusdens
      Pages 353-368
    20. Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu
      Pages 369-384
    21. Shuai Zheng, Chris Ding
      Pages 401-416
    22. Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
      Pages 417-431
  3. Demo Track Contributions

    1. Alexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas
      Pages 432-435
    2. Xihui Chen, Piotr Kordy, Ruipeng Lu, Jun Pang
      Pages 436-439
    3. Luigi Di Caro, Livio Robaldo, Nicoletta Bersia
      Pages 440-443
    4. Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot
      Pages 444-447
    5. Ioannis Manoussos Katakis, Iraklis Varlamis, George Tsatsaronis
      Pages 448-451
    6. J. Kuiper, I. J. Marshall, B. C. Wallace, M. A. Swertz
      Pages 452-455
    7. Nada Lavrač, Matic Perovšek, Anže Vavpetič
      Pages 456-459
    8. Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn
      Pages 460-463
    9. Stefanos Ougiaroglou, Georgios Evangelidis
      Pages 464-467
    10. Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo et al.
      Pages 468-472
    11. Bichen Shi, Georgiana Ifrim, Neil Hurley
      Pages 473-476
    12. Stephan Spiegel, David Schultz, Sahin Albayrak
      Pages 477-480
    13. Andrey Tyukin, Stefan Kramer, Jörg Wicker
      Pages 481-484
  4. Nectar Track Contributions

    1. Francesco Gullo, Giovanni Ponti, Andrea Tagarelli
      Pages 489-493
    2. Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan Kankanhalli
      Pages 494-498
    3. Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Bariş Özgül
      Pages 499-503
    4. Davide Nitti, Tinne De Laet, Luc De Raedt
      Pages 504-507
    5. Gianvito Pio, Michelangelo Ceci, Domenica D’Elia, Donato Malerba
      Pages 508-511
    6. Huzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed
      Pages 512-515
    7. François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski et al.
      Pages 520-523

Other volumes

  1. 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. Machine Learning and Knowledge Discovery in Databases
    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 Informatica,Università 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 978-3-662-44844-1
  • Online ISBN 978-3-662-44845-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site