Approaches of predictive and clustering methods used in emergency events: A Systematic Literature Review
Abstract:
Currently, social networks play a fundamental role in disseminating information on natural disasters and urban emergencies. This article presents a Systematic Literature Review (SLR) on using social media data as a basis for applying different classification, clustering, and prediction algorithms in emergency response scenarios. The first part focuses on information sources; after, the investigations that used classification, clustering, and prediction techniques or algorithms are described. Finally, the results obtained can be used to make optimal allocation and resource management decisions according to the emergency event.
Año de publicación:
2021
Keywords:
- Urban emergency
- Emergency response
- Algorithms, Social networks
- geospatial data
Fuente:


Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Aprendizaje automático
Áreas temáticas de Dewey:
- Funcionamiento de bibliotecas y archivos
- Economía
- Otros problemas y servicios sociales

Objetivos de Desarrollo Sostenible:
- ODS 11: Ciudades y comunidades sostenibles
- ODS 13: Acción por el clima
- ODS 9: Industria, innovación e infraestructura
