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Mobility datamodeling, management, a...
~
Renso, Chiara, (1968-)
Mobility datamodeling, management, and understanding /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mobility dataedited by Chiara Renso, Stefano Spaccapietra, Esteban Zimanyi.
其他題名:
modeling, management, and understanding /
其他作者:
Renso, Chiara,
出版者:
Cambridge :Cambridge University Press,2013.
面頁冊數:
xxi, 360 p. :ill., digital ;24 cm.
標題:
Mobile computing.
電子資源:
https://doi.org/10.1017/CBO9781139128926
ISBN:
9781139128926$q(electronic bk.)
Mobility datamodeling, management, and understanding /
Mobility data
modeling, management, and understanding /[electronic resource] :edited by Chiara Renso, Stefano Spaccapietra, Esteban Zimanyi. - Cambridge :Cambridge University Press,2013. - xxi, 360 p. :ill., digital ;24 cm.
Trajectories and their representations /S. Spaccapietra, C. Parent, L. Spinsanti --
Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.
ISBN: 9781139128926$q(electronic bk.)Subjects--Topical Terms:
185560
Mobile computing.
LC Class. No.: QA76.59 / .M725 2013
Dewey Class. No.: 004.16
Mobility datamodeling, management, and understanding /
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modeling, management, and understanding /
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edited by Chiara Renso, Stefano Spaccapietra, Esteban Zimanyi.
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Trajectories and their representations /
$r
S. Spaccapietra, C. Parent, L. Spinsanti --
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Trajectory collection and reconstruction /
$r
G. Maketos, M.L. Damiani, N. Pelekis, Y. Theodoridis, Z. Yan --
$t
Trajectory database /
$r
R.H. Guting, T. Behr, C. Duntgen --
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Trajectory data warehouse /
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A.A. Vaisman, E. Zimanyi --
$t
Mobility and uncertainty /
$r
C. Silvestri, A.A. Vaisman --
$t
Mobility data mining /
$r
M. Nanni --
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Understanding human mobility using mobility data mining /
$r
C. Renso, R. Trasarti --
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Visual analytics of movement: a rich palette of techniques to enable understanding /
$r
N. Andrienko, G. Andrienko --
$t
Mobility data and privacy /
$r
F. Giannotti, A. Monreale, D. Pedreschi --
$t
Car traffic monitoring /
$r
D. Janssens, M. Nanni, S. Rinzivillo --
$t
Maritime monitoring /
$r
T. Devogele, L. Etienne, C. Ray --
$t
Air traffic anaysis /
$r
C. Hurter, G. Andrienko, N. Andrienko, R.H. Gutinh, M. Sakr --
$t
Animal movement /
$r
S. Focardi, F. Cagnacci --
$t
Person monitoring with bluetooth tracking /
$r
M. Versichele, T. Neutens, N. Van de Weghe --
$t
A complexity science perspective on human mobility /
$r
F. Giannotti, L. Pappalardo, D. Pedreschi, D. Wang --
$t
Mobility and geo-social networks /
$r
L. Spinsanti, M. Berlingerio, L. Pappalardo --
$t
Conclusions /
$r
C. Renso, S. Spaccapietra, E. Zimanyi.
520
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Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.
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https://doi.org/10.1017/CBO9781139128926
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