© 2019

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

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

Bibliographic information