Traffic Mining Applied to Police Activities (Record no. 79251)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03581nam a22005775i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-75608-0 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801221047.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180321s2018 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319756080 |
| -- | 978-3-319-75608-0 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 004.6 |
| 245 10 - TITLE STATEMENT | |
| Title | Traffic Mining Applied to Police Activities |
| Sub Title | Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 155 p. 39 illus., 33 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Intelligent Systems and Computing, |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Leuzzi, Fabio. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ferilli, Stefano. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-75608-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2018. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Transportation engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Traffic engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations research. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Management science. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Transportation Technology and Traffic Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations Research, Management Science . |
| 700 1# - AUTHOR 2 | |
| -- | (orcid)0000-0003-1118-0601 |
| -- | https://orcid.org/0000-0003-1118-0601 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2194-5365 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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