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.