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Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach
Terror events can cause profound consequences for the whole society. Finding out the regularity of terrorist attacks has important meaning for the global counter-terrorism strategy. In the present study, we demonstrate a novel method using relatively popular and robust machine learning methods to si...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462416/ https://www.ncbi.nlm.nih.gov/pubmed/28591138 http://dx.doi.org/10.1371/journal.pone.0179057 |