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|a 9783540751779
|9 978-3-540-75177-9
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|a 10.1007/978-3-540-75177-9
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|a 006.312
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|a Mobility, Data Mining and Privacy
|h [electronic resource] :
|b Geographic Knowledge Discovery /
|c edited by Fosca Giannotti, Dino Pedreschi.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a XIV, 410 p.
|b online resource.
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|a text
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|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.
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|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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|a Data mining.
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|a Database management.
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|a Computers and civilization.
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|a Computers-Law and legislation.
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|a Information technology-Law and legislation.
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|a Data Mining and Knowledge Discovery.
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|a Database Management.
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|a Computers and Society.
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|a Legal Aspects of Computing.
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|a Giannotti, Fosca.
|e editor.
|0 (orcid)0000-0003-3099-3835
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1 |
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|a Pedreschi, Dino.
|e editor.
|0 (orcid)0000-0003-4801-3225
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|4 http://id.loc.gov/vocabulary/relators/edt
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|i Printed edition:
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|z 9783540751762
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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