Citizen in sensor networks [electronic resource] : second international workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, revised selected papers / edited by Jordi Nin, Daniel Villatoro.
CitiSens 2013 (2013 : Barcelona, Spain); Nin, Jordi, editor.; Villatoro, Daniel, editor.
2014
QA76.9.D343
Available Online

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Title Citizen in sensor networks [electronic resource] : second international workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, revised selected papers / edited by Jordi Nin, Daniel Villatoro.
Meeting Name CitiSens 2013 (2013 : Barcelona, Spain)
ISBN 9783319041780 electronic book
3319041789 electronic book
9783319041773
3319041770
Published Berlin : Springer, 2014.
Copyright ©2014
Language English
Description 1 online resource (ix, 109 pages) : illustrations.
Call Number QA76.9.D343
Dewey Decimal Classification 006.3
Summary This book constitutes the proceedings of the Second International Conference on Citizen Sensor Networks, CitiSens 2013, held in Barcelona, Spain, in September 2013. The 8 papers presented in this volume were carefully reviewed and selected from 16 submissions. The topics covered are: trajectory mining, smart cities, multi-agents systems, networks simulation, smart sensors and clustering or data anonymization.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Added Author Nin, Jordi, editor.
Villatoro, Daniel, editor.
Series Lecture notes in computer science ; 8313.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
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Trajectory Mining
Actions in Context: System for people with Dementia
Transportation planning based on GSM traces: a case study on Ivory Coast
From Tweets to Semantic Trajectories: mining Anomalous Urban Mobility Patterns
Transportation Networks
Crowdsensing Simulation Using ns-3
On the Use of Social Trajectory-based Clustering Methods for Public Transport Optimization
Migration Movements
Tracking Human Migration From Online Attention
Data Anonymization
Beyond Multivariate Microaggregation for Large Record Anonymization.

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