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020 _a9783319756080
024 7 _a10.1007/978-3-319-75608-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.D343
_b2018 EB
245 1 0 _aTraffic Mining Applied to Police Activities :
_bProceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017)
_cedited by Fabio Leuzzi, Stefano Ferilli.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XII, 155 páginas)
_bilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357
_v728
490 0 _aEngineering (Springer-11647)
520 3 _aThis 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.
988 _aEBSPRINGER_2018
650 7 _2embne
_aData mining
_vCongresos y asambleas
_9162648
700 1 _aLeuzzi, Fabio.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFerilli, Stefano.
_eeditor literario
_0(orcid)0000-0003-1118-0601
_1http://orcid.org/0000-0003-1118-0601
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/no2011067853
_1http://viaf.org/viaf/170843027/
776 0 8 _iEdición impresa:
_z9783319756073
776 0 8 _iEdición impresa:
_z9783319756097
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-75608-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_ek
_zSI