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Availability, Reliability, and Security in Information Systems

IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9817)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9817)

Table of contents

  1. Front Matter
    Pages I-XII
  2. The International Cross Domain Conference (CD-ARES 2016)

    1. Front Matter
      Pages 1-1
    2. Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao
      Pages 19-28
    3. Michael Hitz, Mirjana Radonjic-Simic, Julian Reichwald, Dennis Pfisterer
      Pages 29-44
    4. Gianfranco Lamperti, Xiangfu Zhao
      Pages 45-62
    5. Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
      Pages 63-80
    6. Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crişan, Camelia-M. Pintea, Vasile Palade
      Pages 81-95
    7. Francesco Buccafurri, Gianluca Lax, Serena Nicolazzo, Antonino Nocera
      Pages 96-105
    8. Rashed Mazumder, Atsuko Miyaji, Chunhua Su
      Pages 106-123
    9. Rashed Mazumder, Atsuko Miyaji, Chunhua Su
      Pages 124-140
    10. Angelo Furfaro, Teresa Gallo, Domenico Saccà
      Pages 158-174
    11. Inger Anne Tøndel, Fredrik Seehusen, Erlend Andreas Gjære, Marie Elisabeth Gaup Moe
      Pages 175-190
  3. Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016)

    1. Front Matter
      Pages 191-191
    2. Yoan Miche, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse et al.
      Pages 193-203
    3. Felix Dietze, Johannes Karoff, André Calero Valdez, Martina Ziefle, Christoph Greven, Ulrik Schroeder
      Pages 204-218
    4. Sigal Shaked, Lior Rokach
      Pages 219-235
    5. Katerina Zamani, Angelos Charalambidis, Stasinos Konstantopoulos, Maria Dagioglou, Vangelis Karkaletsis
      Pages 236-250
    6. Bernd Malle, Peter Kieseberg, Edgar Weippl, Andreas Holzinger
      Pages 251-266
  4. Back Matter
    Pages 267-267

About these proceedings

Introduction

This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science.


Keywords

natural language generation risk management security and privacy semantic Web social network analysis anonymization automatic user interface generation commercial exchange cyber-insurance data synthetization interactive machine learning internet of everything k-anonymity machine learning privacy preserving data publishing risk modeling sentiment analysis text classification user interface ontologies visualization

Editors and affiliations

  • Francesco Buccafurri
    • 1
  • Andreas Holzinger
    • 2
  • Peter Kieseberg
    • 3
  • A Min Tjoa
    • 4
  • Edgar Weippl
    • 5
  1. 1.University Mediterranea of Reggio CalabriaReggio CalabriaItaly
  2. 2.Medical University GrazGrazAustria
  3. 3.SBA ResearchViennaAustria
  4. 4.Vienna University of TechnologyViennaAustria
  5. 5.SBA ResearchViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45507-5
  • Copyright Information IFIP International Federation for Information Processing 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45506-8
  • Online ISBN 978-3-319-45507-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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