Personal Analytics and Privacy. An Individual and Collective Perspective

First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers

  • Riccardo Guidotti
  • Anna Monreale
  • Dino Pedreschi
  • Serge Abiteboul
Conference proceedings PAP 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10708)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10708)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Privacy on Personal Data Based Applications

    1. Front Matter
      Pages 1-1
    2. Tristan Allard, Tassadit Bouadi, Joris Duguépéroux, Virginie Sans
      Pages 10-16
    3. Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo
      Pages 17-22
    4. Giuseppe Manco, Giuseppe Pirrò
      Pages 23-35
    5. Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia
      Pages 36-47
  3. Personal Analytics: An Individual and Collective Perspective

    1. Front Matter
      Pages 49-49
    2. Mirco Nanni, Roberto Trasarti, Fosca Giannotti
      Pages 64-75
    3. Paolo Fornacciari, Barbara Guidi, Monica Mordonini, Jacopo Orlandini, Laura Sani, Michele Tomaiuolo
      Pages 98-109
    4. Giles Greenway, Tobias Blanke, Mark Cote, Jennifer Pybus
      Pages 110-121
    5. Sandra Mitrović, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
      Pages 122-138
  4. Back Matter
    Pages 159-159

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017.

The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.

Keywords

collective data mining collective models data privacy data security individual models individual privacy mobile devices personal data management personal data mining personal data protection social networks telecommunication networks user control

Editors and affiliations

  1. 1.KDDLab, ISTI-CNRPisaItaly
  2. 2.KDDLab, University of PisaPisaItaly
  3. 3.KDDLab, University of PisaPisaItaly
  4. 4.Inria, École Normale SupérieureParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71970-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71969-6
  • Online ISBN 978-3-319-71970-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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