Discovery Science

22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings

  • Petra Kralj Novak
  • Tomislav Šmuc
  • Sašo Džeroski
Conference proceedings DS 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11828)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11828)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Advanced Machine Learning

    1. Front Matter
      Pages 1-1
    2. Colin Bellinger, Paula Branco, Luis Torgo
      Pages 3-17
    3. Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont
      Pages 18-28
    4. André Correia, Carlos Soares, Alípio Jorge
      Pages 29-39
    5. Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito
      Pages 40-50
    6. Sandy Moens, Boris Cule, Bart Goethals
      Pages 61-71
    7. Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier
      Pages 72-86
    8. Aljaž Osojnik, Panče Panov, Sašo Džeroski
      Pages 87-95
    9. Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 96-111
    10. Abhinav Sharma, Jan N. van Rijn, Frank Hutter, Andreas Müller
      Pages 112-126
  3. Applications

    1. Front Matter
      Pages 127-127
    2. Amin Azari, Panagiotis Papapetrou, Stojan Denic, Gunnar Peters
      Pages 129-144
    3. Andreia Conceição, João Gama
      Pages 145-154
    4. Erik Dovgan, Bojan Leskošek, Gregor Jurak, Gregor Starc, Maroje Sorić, Mitja Luštrek
      Pages 155-165
    5. Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén
      Pages 176-185
    6. Bozhidar Stevanoski, Dragi Kocev, Aljaž Osojnik, Ivica Dimitrovski, Sašo Džeroski
      Pages 186-201
  4. Data and Knowledge Representation

    1. Front Matter
      Pages 203-203
    2. Elena Battaglia, Ruggero G. Pensa
      Pages 205-219
    3. Dino Ienco, Ruggero G. Pensa
      Pages 220-234
    4. Ana Kostovska, Ilin Tolovski, Fatima Maikore, the Alzheimer’s Disease Neuroimaging Initiative, Larisa Soldatova, Panče Panov
      Pages 235-245
    5. Pavlin G. Poličar, Martin Stražar, Blaž Zupan
      Pages 246-260
    6. Blaž Škrlj, Nada Lavrač, Jan Kralj
      Pages 261-275
  5. Feature Importance

    1. Front Matter
      Pages 277-277
    2. Mohsen Ahmadi Fahandar, Eyke Hüllermeier
      Pages 279-289
    3. Matej Petković, Sašo Džeroski, Dragi Kocev
      Pages 290-305
    4. Cláudio Rebelo de Sá
      Pages 306-315
  6. Interpretable Machine Learning

    1. Front Matter
      Pages 317-317
    2. Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao
      Pages 319-334
    3. Martin Atzmueller, Stefan Bloemheuvel, Benjamin Kloepper
      Pages 335-350
    4. Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
      Pages 351-366 Open Access
    5. Yannik Klein, Michael Rapp, Eneldo Loza Mencía
      Pages 367-382
  7. Networks

  8. Pattern Discovery

    1. Front Matter
      Pages 443-443
    2. Vitor Cerqueira, Luis Torgo, Carlos Soares
      Pages 445-459
    3. Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho et al.
      Pages 460-470
    4. Hoang Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover et al.
      Pages 471-480
    5. Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares
      Pages 481-492
    6. Natasa Sarafijanovic-Djukic, Jesse Davis
      Pages 493-508
  9. Time Series

  10. Back Matter
    Pages 545-546

About these proceedings


This book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019.

The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 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: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series.


artificial intelligence association rules classification clustering clustering algorithms computational creativity computer vision data mining data points data stream information extraction knowledge discovery knowledge transfer learning algorithms machine learning pattern recognition problem solving semantics signal processing text mining

Editors and affiliations

  1. 1.Jožef Stefan InstituteLjubljanaSlovenia
  2. 2.Rudjer Bošković InstituteZagrebCroatia
  3. 3.Jožef Stefan InstituteLjubljanaSlovenia

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