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Traffic mining applied to police activities = proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Traffic mining applied to police activities/ edited by Fabio Leuzzi, Stefano Ferilli.
Reminder of title:	proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
other author:	Leuzzi, Fabio.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 155 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Data mining in law enforcement - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-75608-0
ISBN:	9783319756080

Traffic mining applied to police activities = proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
Traffic mining applied to police activitiesproceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /[electronic resource] :edited by Fabio Leuzzi, Stefano Ferilli. - Cham :Springer International Publishing :2018. - xii, 155 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.7282194-5357 ;. - Advances in intelligent systems and computing ;173..

This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.

ISBN: 9783319756080

Standard No.: 10.1007/978-3-319-75608-0doiSubjects--Topical Terms:

805664
Data mining in law enforcement
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Traffic mining applied to police activities = proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
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245 1 0 $a Traffic mining applied to police activities $h [electronic resource] : $b proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) / $c edited by Fabio Leuzzi, Stefano Ferilli.
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520 $a This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.
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