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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III

  • Bettina Berendt
  • Björn Bringmann
  • Élisa Fromont
  • Gemma Garriga
  • Pauli Miettinen
  • Nikolaj Tatti
  • Volker Tresp

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9853)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9853)

Table of contents

  1. Front Matter
    Pages I-XXII
  2. Demo Track Contributions

    1. Front Matter
      Pages 1-1
    2. Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
      Pages 3-7
    3. Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
      Pages 8-11
    4. Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno Knobbe
      Pages 12-16
    5. Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue
      Pages 17-21
    6. Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis et al.
      Pages 22-26
    7. Gennady Andrienko, Natalia Andrienko, Guido Budziak, Tatiana von Landesberger, Hendrik Weber
      Pages 27-31
    8. Natalia Andrienko, Gennady Andrienko, Salvatore Rinzivillo
      Pages 32-35
    9. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng et al.
      Pages 36-40
    10. Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane
      Pages 41-44
    11. Gevorg Poghosyan, M. Atif Qureshi, Georgiana Ifrim
      Pages 45-49
    12. Mario Cataldi, Luigi Di Caro, Claudio Schifanella
      Pages 50-54
    13. Leonor Becerra-Bonache, Hendrik Blockeel, Maria Galván, François Jacquenet
      Pages 55-58
    14. Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
      Pages 59-62
    15. Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Rémi Andreoli
      Pages 63-66
    16. Alexander Nieuwenhuijse, Jorn Bakker, Mykola Pechenizkiy
      Pages 67-70
  3. Industrial Track Contributions

    1. Front Matter
      Pages 77-77
    2. Luis Moreira-Matias, João Gama, João Mendes-Moreira
      Pages 96-111
    3. Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal Claypool et al.
      Pages 112-128
    4. Yun Cheng, Xiucheng Li, Yan Li
      Pages 129-144
    5. Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi
      Pages 145-160
    6. Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis et al.
      Pages 177-192
    7. Rustem Bekmukhametov, Sebastian Pölsterl, Thomas Allmendinger, Minh-Duc Doan, Nassir Navab
      Pages 193-208
    8. Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan Matthews, David Nielsen, Nikunj Oza
      Pages 209-225
    9. Joshua Siegel, Sumeet Kumar, Isaac Ehrenberg, Sanjay Sarma
      Pages 226-241
  4. Nectar Track Contributions

    1. Front Matter
      Pages 243-243
    2. Salvatore Ruggieri, Franco Turini
      Pages 249-253
    3. Bruce Ferwerda, Markus Schedl
      Pages 254-257
    4. Stephan Spiegel, Norbert Marwan
      Pages 258-262
    5. Hendrik Blom, Katharina Morik
      Pages 263-266
    6. Verena Honsel, Steffen Herbold, Jens Grabowski
      Pages 267-270
    7. Sofie Van Gassen, Tom Dhaene, Yvan Saeys
      Pages 275-279
    8. Rishabh Mehrotra, Emine Yilmaz
      Pages 284-288
    9. Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor
      Pages 289-293
    10. Musfira Jilani, Padraig Corcoran, Michela Bertolotto
      Pages 294-297
  5. Back Matter
    Pages 303-307

Other volumes

  1. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I
  2. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III

About these proceedings

Introduction

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Keywords

big data data mining information systems machine learning statistical methods applications artificial intelligence classification clustering enterprise applications graph mining large scale learning learning paradigms pattern mining probabilistic methods recommender systems sequence mining social media analysis supervised learning unsupervised learning

Editors and affiliations

  • Bettina Berendt
    • 1
  • Björn Bringmann
    • 2
  • Élisa Fromont
    • 3
  • Gemma Garriga
    • 4
  • Pauli Miettinen
    • 5
  • Nikolaj Tatti
    • 6
  • Volker Tresp
    • 7
  1. 1.Department of Computer ScienceKU LeuvenLeuvenBelgium
  2. 2.Deloitte GmbHMünchenGermany
  3. 3.Laboratoire Hubert CurienJean Monnet UniversitySaint-EtienneFrance
  4. 4.Allianz SEMunichGermany
  5. 5.Max-Planck-Institute for InformaticsSaarbrückenGermany
  6. 6.Aalto University School of ScienceEspooFinland
  7. 7.Siemens AG & Lud. Max. Univ. of MunichMunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46131-1
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46130-4
  • Online ISBN 978-3-319-46131-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site