Machine Learning and Knowledge Discovery in Databases

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

  • Paolo Frasconi
  • Niels Landwehr
  • Giuseppe Manco
  • Jilles Vreeken

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9852)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9852)

Table of contents

  1. Front Matter
    Pages I-XXVIII
  2. Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
    Pages 17-32
  3. Michelangelo Diligenti, Marco Gori, Vincenzo Scoca
    Pages 33-46
  4. Matt Revelle, Carlotta Domeniconi, Aditya Johri
    Pages 47-62
  5. Shigeyuki Odashima, Miwa Ueki, Naoyuki Sawasaki
    Pages 63-78
  6. Tian Guo, Konstantin Kutzkov, Mohamed Ahmed, Jean-Paul Calbimonte, Karl Aberer
    Pages 79-95
  7. Ali Pesaranghader, Herna L. Viktor
    Pages 96-111
  8. Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
    Pages 129-144
  9. Duc-Trong Le, Yuan Fang, Hady W. Lauw
    Pages 145-161
  10. Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu et al.
    Pages 162-178
  11. Tim Leathart, Bernhard Pfahringer, Eibe Frank
    Pages 179-194
  12. Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum
    Pages 195-213
  13. Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
    Pages 214-229
  14. Masamichi Shimosaka, Takeshi Tsukiji, Shoji Tominaga, Kota Tsubouchi
    Pages 230-246
  15. Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu
    Pages 247-264
  16. Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
    Pages 265-281
  17. Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
    Pages 282-298

Other volumes

  1. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
  3. 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 system machine learning statistical methods applications artificial intelligence classification clustering enterprise applications graph mining large scale learning learning paradigms pattern mining probabilistic models recommender systems sequence mining social media analysis supervised learning unsupervised learning

Editors and affiliations

  • Paolo Frasconi
    • 1
  • Niels Landwehr
    • 2
  • Giuseppe Manco
    • 3
  • Jilles Vreeken
    • 4
  1. 1.Università degli Studi di FirenzeFirenzeItaly
  2. 2.Computer ScienceUniversity of PotsdamPotsdamGermany
  3. 3.High Performance Computing and NetworksRendeItaly
  4. 4.MPI for InformaticsSaarland UniversitySaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46227-1
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-46226-4
  • Online ISBN 978-3-319-46227-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book