Machine Learning and Knowledge Extraction

Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings

  • Andreas Holzinger
  • Peter Kieseberg
  • A Min Tjoa
  • Edgar Weippl
Conference proceedings CD-MAKE 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11015)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11015)

Table of contents

  1. Front Matter
    Pages I-XV
  2. MAKE-Main Track

    1. Front Matter
      Pages 9-9
    2. Alireza Abdollahpouri, Shadi Rahimi, Shahnaz Mohammadi Majd, Chiman Salavati
      Pages 11-27
    3. Catia Cepeda, Joao Rodrigues, Maria Camila Dias, Diogo Oliveira, Dina Rindlisbacher, Marcus Cheetham et al.
      Pages 28-42
    4. Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao
      Pages 43-64
    5. Alexiei Dingli, Mark Bugeja, Dylan Seychell, Simon Mercieca
      Pages 65-78
    6. Bemarisika Parfait, Ramanantsoa Harrimann, Totohasina André
      Pages 79-97
    7. Lukas Felsberger, Dieter Kranzlmüller, Benjamin Todd
      Pages 98-117
    8. Luis G. Moreno-Sandoval, Carolina Sánchez-Barriga, Katherine Espíndola Buitrago, Alexandra Pomares-Quimbaya, Juan Carlos Garcia
      Pages 134-146
    9. Catherine Sotirakou, Panagiotis Germanakos, Andreas Holzinger, Constantinos Mourlas
      Pages 147-159
    10. Sreedhar Radhakrishnan, Varun Bharadwaj, Varun Manjunath, Ramamoorthy Srinath
      Pages 160-175
  3. MAKE-Text

    1. Front Matter
      Pages 177-177
    2. Abdulaziz M. Alayba, Vasile Palade, Matthew England, Rahat Iqbal
      Pages 179-191
    3. Eugen Ruppert, Dirk Hartung, Phillip Sittig, Tjorben Gschwander, Lennart Rönneburg, Tobias Killing et al.
      Pages 212-222
  4. MAKE-Smart Factory

    1. Front Matter
      Pages 237-237
    2. Mario Heinz, Hitesh Dhiman, Carsten Röcker
      Pages 239-247
  5. MAKE-Topology

    1. Front Matter
      Pages 263-263
    2. Francesco Camporesi, Patrizio Frosini, Nicola Quercioli
      Pages 265-272
    3. Rustem R. Gilmanov, Alexander V. Kalyuzhnyuk, Iskander A. Taimanov, Andrey A. Yakovlev
      Pages 273-281
    4. Alessia Angeli, Massimo Ferri, Eleonora Monti, Ivan Tomba
      Pages 282-292
  6. MAKE Explainable AI

    1. Front Matter
      Pages 293-293
    2. Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lecue, Zeynep Akata, Simone Stumpf et al.
      Pages 295-303
    3. Ajay Chander, Ramya Srinivasan
      Pages 314-328
    4. André Carrington, Paul Fieguth, Helen Chen
      Pages 329-349
    5. Franz Mayr, Sergio Yovine
      Pages 350-369
  7. Back Matter
    Pages 371-372

About these proceedings


This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018.
The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI. 


Anonymization Artificial intelligence Automatic User Interface Generation Classification Computational linguistics Cyber-insurance Data mining Human-computer interaction (HCI) Image processing k-anonymity Machine learning Metric Spaces Natural Language Processing (NLP) Neural networks Privacy Preserving Data Publishing Risk management Security and Privacy Semantics Social networks Text classification

Editors and affiliations

  1. 1.Graz University of TechnologyMedical University GrazGrazAustria
  2. 2.SBA ResearchViennaAustria
  3. 3.Vienna University of TechnologyViennaAustria
  4. 4.SBA ResearchViennaAustria

Bibliographic information

  • DOI
  • Copyright Information IFIP International Federation for Information Processing 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-99739-1
  • Online ISBN 978-3-319-99740-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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