Mobility, Data Mining and Privacy

Geographic Knowledge Discovery

  • Fosca Giannotti
  • Dino Pedreschi

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Setting the Stage

    1. F. Giannotti, D. Pedreschi
      Pages 1-11
    2. N. Andrienko, G. Andrienko, N. Pelekis, S. Spaccapietra
      Pages 15-38
    3. C. Renso, S. Puntoni, E. Frentzos, A. Mazzoni, B. Moelans, N. Pelekis et al.
      Pages 73-100
    4. 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. J. Macedo, C. Vangenot, W. Othman, N. Pelekis, E. Frentzos, B. Kuijpers et al.
      Pages 123-150
    2. E. Frentzos, N. Pelekis, I. Ntoutsi, Y. Theodoridis
      Pages 151-187
    3. N. Pelekis, A. Raffaetà, M. -L. Damiani, C. Vangenot, G. Marketos, E. Frentzos et al.
      Pages 189-211
    4. V. S. Verykios, M. L. Damiani, A. Gkoulalas-Divanis
      Pages 213-240
  4. Mining Spatiotemporal and Trajectory Data

    1. S. Rinzivillo, F. Turini, V. Bogorny, C. Körner, B. Kuijpers, M. May
      Pages 243-265
    2. M. Nanni, B. Kuijpers, C. Körner, M. May, D. Pedreschi
      Pages 267-296
    3. F. Bonchi, Y. Saygin, V. S. Verykios, M. Atzori, A. Gkoulalas-Divanis, S. V. Kaya et al.
      Pages 297-333
    4. G. Manco, M. Baglioni, F. Giannotti, B. Kuijpers, A. Raffaetà, C. Renso
      Pages 335-374
    5. G. Andrienko, N. Andrienko, I. Kopanakis, A. Ligtenberg, S. Wrobel
      Pages 375-410

About this book

Introduction

The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks: on one side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information. A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy.

This book assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, funded by the EU Commission and involving 40 researchers from 7 countries, and this book tightly integrates and relates their findings in 13 chapters covering all related subjects, including the concepts of movement data and knowledge discovery from movement data; privacy-aware geographic knowledge discovery; wireless network and next-generation mobile technologies; trajectory data models, systems and warehouses; privacy and security aspects of technologies and related regulations; querying, mining and reasoning on spatiotemporal data; and visual analytics methods for movement data.

This book will benefit researchers and practitioners in the related areas of computer science, geography, social science, statistics, law, telecommunications and transportation engineering.

Keywords

Geographic Knowledge Discovery Spatio-temporal Data Mining Trajectory Data Models Trajectory Data Warehouses Trajectory Database Systems Wireless Networks computer science data mining data warehouse database database system knowledge discovery privacy security statistics

Editors and affiliations

  • Fosca Giannotti
    • 1
  • Dino Pedreschi
    • 2
  1. 1.KDD Laboratory ISTI-CNRIstituto di Scienza e Tecnologie dell’Informazione “A. Faedo”PisaItaly
  2. 2.KDD Laboratory Dipartimento di InformaticaUniversità di PisaPisaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-75177-9
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-75176-2
  • Online ISBN 978-3-540-75177-9
  • About this book