Skip to main content
SpringerLink
Log in

Mobility, Data Mining and Privacy

Geographic Knowledge Discovery

  • Book
  • © 2008

Overview

Editors:
  1. Fosca Giannotti

    1. KDD Laboratory ISTI-CNR, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Pisa, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Dino Pedreschi

    1. KDD Laboratory Dipartimento di Informatica, Università di Pisa, Pisa, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Setting the Stage

    1. Mobility, Data Mining and Privacy: A Vision of Convergence

      • F. Giannotti, D. Pedreschi
      Pages 1-11

    2. Basic Concepts of Movement Data

      • N. Andrienko, G. Andrienko, N. Pelekis, S. Spaccapietra
      Pages 15-38

    3. Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process

      • M. Wachowicz, A. Ligtenberg, C. Renso, S. Gürses
      Pages 39-72

    4. Wireless Network Data Sources: Tracking and Synthesizing Trajectories

      • C. Renso, S. Puntoni, E. Frentzos, A. Mazzoni, B. Moelans, N. Pelekis et al.
      Pages 73-100

    5. Privacy Protection: Regulations and Technologies, Opportunities and Threats

      • D. Pedreschi, F. Bonchi, F. Turini, V. S. Verykios, M. Atzori, B. Malin et al.
      Pages 101-119

  3. Managing Moving Object and Trajectory Data

    1. Trajectory Data Models

      • J. Macedo, C. Vangenot, W. Othman, N. Pelekis, E. Frentzos, B. Kuijpers et al.
      Pages 123-150

    2. Trajectory Database Systems

      • E. Frentzos, N. Pelekis, I. Ntoutsi, Y. Theodoridis
      Pages 151-187

    3. Towards Trajectory Data Warehouses

      • N. Pelekis, A. Raffaetà, M. -L. Damiani, C. Vangenot, G. Marketos, E. Frentzos et al.
      Pages 189-211

    4. Privacy and Security in Spatiotemporal Data and Trajectories

      • V. S. Verykios, M. L. Damiani, A. Gkoulalas-Divanis
      Pages 213-240

  4. Mining Spatiotemporal and Trajectory Data

    1. Knowledge Discovery from Geographical Data

      • S. Rinzivillo, F. Turini, V. Bogorny, C. Körner, B. Kuijpers, M. May
      Pages 243-265

    2. Spatiotemporal Data Mining

      • M. Nanni, B. Kuijpers, C. Körner, M. May, D. Pedreschi
      Pages 267-296

    3. Privacy in Spatiotemporal Data Mining

      • F. Bonchi, Y. Saygin, V. S. Verykios, M. Atzori, A. Gkoulalas-Divanis, S. V. Kaya et al.
      Pages 297-333

    4. Querying and Reasoning for Spatiotemporal Data Mining

      • G. Manco, M. Baglioni, F. Giannotti, B. Kuijpers, A. Raffaetà, C. Renso
      Pages 335-374

    5. Visual Analytics Methods for Movement Data

      • G. Andrienko, N. Andrienko, I. Kopanakis, A. Ligtenberg, S. Wrobel
      Pages 375-410
Back to top

Keywords

About this book

The technologies of mobile communications and ubiquitous computing are p- vading our society. Wireless networks are becoming the nerves of our territory, especially in the urban setting; through these nerves, the movement of people and vehicles may be sensed and possibly recorded, thus producing large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if misused, highly sensitive personal information. In a nutshell, a novel multi-disciplinary research area is emerging within this challenging con?ict of opportunities and risks and at the crossroads of three s- jects: mobility, data mining and privacy. This book is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the v- ious scienti?c and technologicalachievementsthat are needed to face the challenge, anddiscussthecurrentstate oftheart,theopenproblemsandtheexpectedroad-map of research. Hence, this is a book for researchers: ?rst of all for computer science researchers, from any sub-area of the ?eld, and also for researchers from other disciplines (such as geography, statistics, social sciences, law, telecommunication and transportation engineering) who are willing to engage in a multi-disciplinary research area with potential for broad social and economic impact.

Editors and Affiliations

  • KDD Laboratory ISTI-CNR, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Pisa, Italy

    Fosca Giannotti

  • KDD Laboratory Dipartimento di Informatica, Università di Pisa, Pisa, Italy

    Dino Pedreschi

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation