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| 008 | 161011s2016 gw a s 0|1 0 eng d | ||
| 020 | _a9783319414928 | ||
| 024 | 7 |
_a10.1007/978-3-319-41492-8 _2doi |
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| 050 | 4 |
_aHV7936.A8 _bT39 2016 EB |
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| 082 | 0 | 4 | _a006.312 |
| 100 | 1 |
_aTayebi, Mohammad A. _999808 _0Local |
|
| 245 | 1 | 0 |
_aSocial Network Analysis in Predictive Policing : _bConcepts, Models and Methods _cby Mohammad A. Tayebi, Uwe Glässer |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2016 |
|
| 300 |
_a1 recurso en línea (XI, 133 p.) _b43 ilustraciones en color |
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| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 1 |
_aLecture Notes in Social Networks _x2190-5428 |
|
| 505 | 0 | _aIntroduction -- Social Network Analysis in Predictive Policing -- Structure of Co-offending Networks -- Organized Crime Group Detection -- Suspect Investigation -- Co-offence Prediction -- Personalized Crime Location Prediction -- Concluding remarks -- References. | |
| 520 | _aThis book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networksnetworks of offenders who have committed crimes togetherhave long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems. | ||
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_aProceso de datos _0comprobar BNE19900995159 _2embne _9141180 |
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_aSeguridad informática _0comprobar BNE20010505695 _2embne _9158200 |
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_aData mining _0comprobar BNE20033218554 _2embne _9162648 |
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| 700 | 1 |
_aGlässer, Uwe _999809 _0Local |
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| 830 | 0 |
_aLecture Notes in Social Networks _x2190-5428 _9134273 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-41492-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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