國立虎尾科技大學 |

Traffic Mining Applied to Police Activities = Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Traffic Mining Applied to Police Activities/ edited 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.
面頁冊數:	XII, 155 p. 39 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer communication systems. -
電子資源:	https://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. - 1st ed. 2018. - XII, 155 p. 39 illus., 33 illus. in color.online resource. - Advances in Intelligent Systems and Computing,7282194-5357 ;. - Advances in Intelligent Systems and Computing,335.

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:

1115394
Computer communication systems.

LC Class. No.: TK5105.5-5105.9

Dewey Class. No.: 004.6

Traffic Mining Applied to Police Activities = Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /
LDR:02621nam a22003855i 4500 001 995210
003 DE-He213
005 20200705110144.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319756080 $9 978-3-319-75608-0
024 7 $a 10.1007/978-3-319-75608-0 $2 doi
035 $a 978-3-319-75608-0
050 4 $a TK5105.5-5105.9
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004.6 $2 23
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.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XII, 155 p. 39 illus., 33 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 728
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.
650 0 $a Computer communication systems. $3 1115394
650 0 $a Transportation engineering. $3 633205
650 0 $a Traffic engineering. $3 639529
650 0 $a Data mining. $3 528622
650 0 $a Operations research. $3 573517
650 0 $a Management science. $3 719678
650 1 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Transportation Technology and Traffic Engineering. $3 1069531
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Operations Research, Management Science. $3 785065
700 1 $a Leuzzi, Fabio. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1202438
700 1 $a Ferilli, Stefano. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 784026
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319756073
776 0 8 $i Printed edition: $z 9783319756097
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-3-319-75608-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)