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_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996 |
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_c102645 _d102645 _x1 |
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| 001 | 102645 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113052.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180321s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319756080 | ||
| 024 | 7 |
_a10.1007/978-3-319-75608-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9.D343 _b2018 EB |
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| 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 |
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| 300 |
_a1 recurso en línea (XII, 155 páginas) _bilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 _v728 |
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| 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 |
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| 700 | 1 |
_aLeuzzi, Fabio. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 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/ |
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| 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 |
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| 998 |
_b04/2020 _dz _ek _zSI |
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