Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Editat de Fosca Giannotti, Dino Pedreschien Limba Engleză Paperback – 19 oct 2010
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Specificații
ISBN-13: 9783642094439
ISBN-10: 3642094430
Pagini: 424
Ilustrații: XIV, 410 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.59 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642094430
Pagini: 424
Ilustrații: XIV, 410 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.59 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Includes supplementary material: sn.pub/extras