Foundations of Intelligent Systems

23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings

  • Marzena Kryszkiewicz
  • Annalisa Appice
  • Dominik Ślęzak
  • Henryk Rybinski
  • Andrzej Skowron
  • Zbigniew W. Raś

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10352)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10352)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Invited Paper

    1. Front Matter
      Pages 1-1
    2. Federico Chesani, Paola Mello, Marco Montali
      Pages 3-16
  3. Bioinformatics and Health Informatics

    1. Front Matter
      Pages 17-17
    2. Ziad Al Bkhetan, Dariusz Plewczynski
      Pages 19-28
    3. Stefano Ferilli, Anna Maria Ferilli, Floriana Esposito, Domenico Redavid, Sergio Angelastro
      Pages 37-46
    4. Adam Kurowski, Piotr Odya, Piotr Szczuko, Michał Lech, Paweł Spaleniak, Bożena Kostek et al.
      Pages 47-56
    5. Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama
      Pages 57-63
    6. Przemyslaw Szurmak, Jan Mulawka
      Pages 64-73
  4. Data Mining Methods

    1. Front Matter
      Pages 75-75
    2. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
      Pages 87-96
    3. Maciej Piernik, Dariusz Brzezinski, Tadeusz Morzy, Mikolaj Morzy
      Pages 105-115
    4. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
      Pages 116-126
  5. Deep Learning

    1. Front Matter
      Pages 127-127
    2. Ali Batuhan Dayioglugil, Yusuf Sinan Akgul
      Pages 129-135
    3. Wojciech Stokowiec, Tomasz Trzciński, Krzysztof Wołk, Krzysztof Marasek, Przemysław Rokita
      Pages 136-145
    4. Tomasz Trzciński, Paweł Andruszkiewicz, Tomasz Bocheński, Przemysław Rokita
      Pages 146-153
  6. Intelligent Information Systems

    1. Front Matter
      Pages 155-155
    2. Imen Ben Sassi, Sadok Ben Yahia, Sehl Mellouli
      Pages 157-167
    3. Chi-Cheng Cheng, Tsan-Chu Lu
      Pages 168-174
    4. Alfredo Milani, Rajdeep Niyogi
      Pages 185-194
    5. Felix Richter, Oliver Hartkopp, Dirk C. Mattfeld
      Pages 205-214
    6. Maciej Zembrzuski, Heesik Jeon, Joanna Marhula, Katarzyna Beksa, Szymon Sikorski, Tomasz Latkowski et al.
      Pages 215-226
  7. Knowledge-Based Systems

    1. Front Matter
      Pages 227-227
    2. Łukasz Białek, Barbara Dunin-Kęplicz, Andrzej Szałas
      Pages 229-239
    3. Angel Luis Garrido, Oscar Cardiel, Andrea Aleyxendri, Ruben Quilez
      Pages 240-250
    4. Milko Krachunov, Peter Petrov, Maria Nisheva, Dimitar Vassilev
      Pages 251-260
  8. Machine Learning

    1. Front Matter
      Pages 269-269
    2. Jerzy Błaszczyński, Jerzy Stefanowski
      Pages 271-281
    3. Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen
      Pages 292-301
    4. Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski
      Pages 312-322
    5. Mark Pijnenburg, Wojtek Kowalczyk
      Pages 323-332
  9. Mining Temporal, Spatial and Spatio-Temporal Data

    1. Front Matter
      Pages 345-345
    2. Igor da Penha Natal, Rogerio de Avellar Campos Cordeiro, Ana Cristina Bicharra Garcia
      Pages 358-367
    3. Stefano Ferilli, Floriana Esposito, Domenico Redavid, Sergio Angelastro
      Pages 368-377
    4. Julia Hofmockel, Felix Richter, Eric Sax
      Pages 378-384
    5. Yongli Zhang, Sujing Wang, Amar Mani Aryal, Christoph F. Eick
      Pages 396-403
    6. Alicja Wieczorkowska, Elżbieta Kubera, Danijel Koržinek, Tomasz Słowik, Andrzej Kuranc
      Pages 404-413
  10. Text and Web Mining

    1. Front Matter
      Pages 415-415

About these proceedings


This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.


algorithms artificial intelligence classification clustering concept lattices data minig data stream formal concept analysis information retrieval Internet learning algorithms machine learning Neural Language Processing (NLP) neural networks recommender systems semantic web signal processing social networks Support Vector Machines (SVMs)

Editors and affiliations

  • Marzena Kryszkiewicz
    • 1
  • Annalisa Appice
    • 2
  • Dominik Ślęzak
    • 3
  • Henryk Rybinski
    • 4
  • Andrzej Skowron
    • 5
  • Zbigniew W. Raś
    • 6
  1. 1.Warsaw University of TechnologyWarsawPoland
  2. 2.University of Bari Aldo MoroBariItaly
  3. 3.Institute of InformaticsUniversity of WarsawWarsawPoland
  4. 4.Faculty of Electronics & InformationWarsaw University of TechnologyWarsawPoland
  5. 5.Institute of MathematicsWarsaw UniversityWarsawPoland
  6. 6.Department of Computer ScienceUniversity of North Carolina at CharlotteNorth CarolinaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-60437-4
  • Online ISBN 978-3-319-60438-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Health & Hospitals
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences