Download Mobility, Data Mining and Privacy

Mobility, Data Mining and Privacy
– Geographic Knowledge Discovery
Fosca Giannotti, Dino Pedreschi (Eds.)
Hardcover, ca. 430 pp., publication December 2007
ISBN 978-3-540-75176-2, Ca. Euro 74.95, US$ 99.00
Overview
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 managed 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 mining; 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.
Table of Contents
Mobility, Data Mining, and Privacy: A Vision of Convergence; Part I – Setting the Stage: 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; Part II – Managing Moving Object and Trajectory Data: Trajectory Data Models; Trajectory Database Systems; Towards Trajectory Data Warehouses; Privacy and Security in Spatiotemporal
Data and Trajectories; Part III – Mining Spatiotemporal Data 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
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