Early warning system based on data mining to identify crime patterns
The analysis of criminal information is critical for the purpose of preventing the occurrence of offenses, so the crime records committed in the past are analyzed including perpetrators. The main objective was to identify crime patterns in the city of Bogota, Colombia, supported using Early Warning...
- Autores:
-
Viloria Silva, Amelec Jesus
Palacio de la Cruz, Stefany
Hernández Ureche, Jannys
Garcia Tamayo, Diana Marcela
Neira Molina, Harold Roberto
Hernandez P, Hugo
Martinez Ventura, Jairo Luis
Romero, Ligia
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5230
- Acceso en línea:
- https://hdl.handle.net/11323/5230
https://repositorio.cuc.edu.co/
- Palabra clave:
- Criminal patterns
Early warning
Data mining
Data ouping
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
| Summary: | The analysis of criminal information is critical for the purpose of preventing the occurrence of offenses, so the crime records committed in the past are analyzed including perpetrators. The main objective was to identify crime patterns in the city of Bogota, Colombia, supported using Early Warning System based on data mining (CRISP-DM method). The research results show the identification of 12 different criminal profiles demonstrating that the Early Warning System is applicable since it managed to significantly reduce the time devoted to the processes of registering complaints and searching for criminal profiles. |
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