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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Morais, Ana Isabel F. & Laureano, Raul M. S. (2013). Compreensão dos fatores determinantes do terrorismo através de um modelo de árvore de regressão. In H. Siringoringo, R. Laureano e A. Rosa (Ed.), Proceedings of the 5th Global Management Conference on Managing Globalization in Times of Economic Crisis. Lisboa/Portugal: ISCTE-IUL.
Exportar Referência (IEEE) 
A. I. Morais and R. M. Laureano,  "Compreensão dos fatores determinantes do terrorismo através de um modelo de árvore de regressão", in Proc. of the 5th Global Management Conf. on Managing Globalization in Times of Economic Crisis, H. Siringoringo, R. Laureano e A. Rosa, Ed., Lisboa/Portugal, ISCTE-IUL, 2013
Exportar BibTeX 
@inproceedings{morais2013_1734889925569,
	author = "Morais, Ana Isabel F. and Laureano, Raul M. S.",
	title = "Compreensão dos fatores determinantes do terrorismo através de um modelo de árvore de regressão",
	booktitle = "Proceedings of the 5th Global Management Conference on Managing Globalization in Times of Economic Crisis",
	year = "2013",
	editor = "H. Siringoringo, R. Laureano e A. Rosa",
	volume = "",
	number = "",
	series = "",
	publisher = "ISCTE-IUL",
	address = "Lisboa/Portugal",
	organization = "Global Academic Network & ISCTE-IUL",
	url = "http://hdl.handle.net/10071/4927"
}
Exportar RIS 
TY  - CPAPER
TI  - Compreensão dos fatores determinantes do terrorismo através de um modelo de árvore de regressão
T2  - Proceedings of the 5th Global Management Conference on Managing Globalization in Times of Economic Crisis
AU  - Morais, Ana Isabel F.
AU  - Laureano, Raul M. S.
PY  - 2013
CY  - Lisboa/Portugal
UR  - http://hdl.handle.net/10071/4927
AB  - This study aims to identify the determinants of terrorism, namely the number of attacks, and generate an explanatory model for the occurrence of terrorist acts, having been considered in the analysis economic, socio-demographic, political, and religious variables, 173 countries and a period of 20 years.

Through the application of decision trees, namely the CART algorithm, several variables of the different dimensions have importance for the explanation of the number of attacks, being the socio-demographic that better explain this terrorism metric. The regression tree model does not show a very high explanatory capacity, but given the complexity and subjectivity involved in the phenomenon of terrorism, we can consider that the estimated model is a further contribution to the literature and to the understanding of the terrorism drivers.
ER  -