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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.