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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Giannotti, Fosca (Editor ), Pedreschi, Dino (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a 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. 
520 |a 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. 
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