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Traffic mining applied to police act...

(1998 :)

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Traffic mining applied to police activitiesedited by Fabio Leuzzi, Stefano Ferilli.
其他題名:	proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
其他作者:	Leuzzi, Fabio.
團體作者:
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 155 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data mining in law enforcementCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-75608-0
ISBN:	9783319756080$q(electronic bk.)

Traffic mining applied to police activitiesproceedings 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 ;176..

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$q(electronic bk.)

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

530261
Data mining in law enforcement
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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