Discovery Science

21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

  • Larisa Soldatova
  • Joaquin Vanschoren
  • George Papadopoulos
  • Michelangelo Ceci
Conference proceedings DS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11198)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11198)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Classification

    1. Front Matter
      Pages 1-1
    2. Hmayag Partamian, Yara Rizk, Mariette Awad
      Pages 18-32
    3. Moritz Kulessa, Eneldo Loza Mencía
      Pages 33-50
    4. Matej Petković, Dragi Kocev, Sašo Džeroski
      Pages 51-65
    5. John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus
      Pages 66-82
    6. Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz
      Pages 83-95
  3. Meta-Learning

    1. Front Matter
      Pages 97-97
    2. Basil Alothman, Helge Janicke, Suleiman Y. Yerima
      Pages 99-113
    3. Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
      Pages 114-128
    4. Paula Branco, Luís Torgo, Rita P. Ribeiro
      Pages 129-143
    5. Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
      Pages 144-158
  4. Reinforcement Learning

    1. Front Matter
      Pages 159-159
    2. Dirk Schäfer, Eyke Hüllermeier
      Pages 161-175
  5. Streams and Time Series

    1. Front Matter
      Pages 177-177
    2. Toon Van Craenendonck, Wannes Meert, Sebastijan Dumančić, Hendrik Blockeel
      Pages 179-193
    3. Pierpaolo Basile, Barbara McGillivray
      Pages 194-208
    4. João Vinagre, Alípio Mário Jorge, João Gama
      Pages 209-223
    5. Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller
      Pages 224-240
    6. Bruno Veloso, João Gama, Benedita Malheiro
      Pages 241-255
  6. Subgroup and Subgraph Discovery

    1. Front Matter
      Pages 257-257
    2. Maëlle Moranges, Marc Plantevit, Arnaud Fournel, Moustafa Bensafi, Céline Robardet
      Pages 276-291
    3. Matej Mihelčić, Sašo Džeroski, Tomislav Šmuc
      Pages 292-307
  7. Text Mining

    1. Front Matter
      Pages 309-309
    2. Md Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin
      Pages 311-327
    3. Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
      Pages 328-343
    4. Jorge Silva, Pedro Ribeiro, Fernando Silva
      Pages 344-360
  8. Applications

    1. Front Matter
      Pages 403-403
    2. Eleni Koutrouli, Christos Daskalakis, Aphrodite Tsalgatidou
      Pages 405-420
    3. Melanie Munch, Pierre-Henri Wuillemin, Juliette Dibie, Cristina Manfredotti, Thomas Allard, Solange Buchin et al.
      Pages 421-434
    4. Antony Milne, Katayoun Farrahi, Mihalis A. Nicolaou
      Pages 435-446
    5. Anita Valmarska, Dragana Miljkovic, Marko Robnik–Šikonja, Nada Lavrač
      Pages 466-479
  9. Back Matter
    Pages 481-482

About these proceedings


This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018.

The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.


artificial intelligence classification data mining data stream graph algorithms information retrieval learning algorithms machine learning ontologies pattern recognition recommender systems semantic web semantics signal processing social networking social networks Support Vector Machines SVM

Editors and affiliations

  1. 1.Goldsmiths University of LondonLondonUK
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands
  3. 3.University of CyprusNicosiaCyprus
  4. 4.Università degli Studi di Bari Aldo MoroBariItaly

Bibliographic information