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Istituto di Scienza e Tecnologie dell'Informazione     
Giannotti F., Pedreschi D. Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. In: Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. Editorial, p. 430 (V-VI). Springer Verlag, 2007.
 
 
Abstract
(English)
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 knowl-edge discovery; wireless network and next-generation mobile technologies; trajectory data models, systems and warehouses; privacy and security aspects of technologies and related regulations; query-ing, 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, geog-raphy, 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; Trajec-tory 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 Orders.
Subject Data Mining
Spatio Temporal Databases
Privacy Preserving Technology
Geographc Knowledeg Discovery
Movement Data
H.2.8 Database Applications


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