Mobility, Data Mining and Privacy Geographic Knowledge Discovery /

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 kn...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Giannotti, Fosca (Editor), Pedreschi, Dino (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Setting the Stage
  • Mobility, Data Mining and Privacy: A Vision of Convergence
  • Basic Concepts of Movement Data
  • Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process
  • Wireless Network Data Sources: Tracking and Synthesizing Trajectories
  • Privacy Protection: Regulations and Technologies, Opportunities and Threats
  • Managing Moving Object and Trajectory Data
  • Trajectory Data Models
  • Trajectory Database Systems
  • Towards Trajectory Data Warehouses
  • Privacy and Security in Spatiotemporal Data and Trajectories
  • Mining Spatiotemporal and Trajectory Data
  • Knowledge Discovery from Geographical Data
  • Spatiotemporal Data Mining
  • Privacy in Spatiotemporal Data Mining
  • Querying and Reasoning for Spatiotemporal Data Mining
  • Visual Analytics Methods for Movement Data.