BAST-MGCN: Integrating Background Attributes for Enhanced Spatio-temporal Prediction of Terrorist Attack Casualties
Author:
Affiliation:
1. City University of Macau,Faculty of Data Science,Macau,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603616.pdf?arnumber=10603616
Reference10 articles.
1. Is Transnational Terrorism Becoming More Threatening?
2. Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach
3. Big data-based prediction of terrorist attacks
4. An XGBoost-based casualty prediction method for terrorist attacks
5. Simulating Spatio-Temporal Patterns of Terrorism Incidents on the Indochina Peninsula with GIS and the Random Forest Method
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