Machine Learning and Knowledge Extraction

First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings

  • Andreas Holzinger
  • Peter Kieseberg
  • A Min Tjoa
  • Edgar Weippl

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10410)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10410)

Table of contents

  1. Front Matter
    Pages I-XV
  2. MAKE Topology

    1. Front Matter
      Pages 1-1
    2. Wei Ren, Yoan Miche, Ian Oliver, Silke Holtmanns, Kaj-Mikael Bjork, Amaury Lendasse
      Pages 3-13
    3. Domen Šoberl, Neža Mramor Kosta, Primož Škraba
      Pages 25-40
  3. MAKE Smart Factor

    1. Front Matter
      Pages 57-57
    2. Michael Fellmann, Sebastian Robert, Sebastian Büttner, Henrik Mucha, Carsten Röcker
      Pages 59-68
    3. Sebastian Büttner, Paul Wunderlich, Mario Heinz, Oliver Niggemann, Carsten Röcker
      Pages 69-82
    4. N. E. Díaz Ferreyra, Rene Meis, Maritta Heisel
      Pages 83-102
  4. MAKE Privacy

    1. Front Matter
      Pages 103-103
    2. Félix Iglesias, Valentin Bernhardt, Robert Annessi, Tanja Zseby
      Pages 105-122
    3. Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse
      Pages 123-136
    4. Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto
      Pages 137-154
    5. Bernd Malle, Peter Kieseberg, Andreas Holzinger
      Pages 155-173
  5. MAKE VIS

    1. Front Matter
      Pages 189-189
    2. Krešimir Matković, Hrvoje Abraham, Mario Jelović, Helwig Hauser
      Pages 199-218
    3. Behnam Rahdari, Tahereh Arabghalizi, Marco Brambilla
      Pages 219-236

About these proceedings

Introduction

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 2017, held in Reggio, Italy, in August/September 2017.

The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

Keywords

artificial intelligence classification computer networks data mining data privacy data security databases Human-Computer Interaction (HCI) information technology learning algorithms learning systems machine learning machine learning techniques network security privacy semantics sensors Social Networks (SN) telecommunication networks user interfaces

Editors and affiliations

  • Andreas Holzinger
    • 1
  • Peter Kieseberg
    • 2
  • A Min Tjoa
    • 3
  • Edgar Weippl
    • 4
  1. 1.Medical University GrazGrazAustria
  2. 2.SBA ResearchViennaAustria
  3. 3.Vienna University of TechnologyViennaAustria
  4. 4.SBA ResearchViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-66808-6
  • Copyright Information IFIP International Federation for Information Processing 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-66807-9
  • Online ISBN 978-3-319-66808-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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