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Stephen E. Fienberg, and Galit Shmueli. (2005). Statistical Issues and Challenges Associated with the Rapid Detection of Terrorist Outbreaks. Statistics in Medicine 24: 513-529. Statistics in medicine. 24. 513-29.

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Article

Analysis of Suspects of Terrorist Incidents by Unknown Perpetrator

1School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China, 341000

2Department of Mathematical Sciences, Ball State University, Muncie, USA, 47306


American Journal of Applied Mathematics and Statistics. 2019, Vol. 7 No. 5, 161-166
DOI: 10.12691/ajams-7-5-1
Copyright © 2019 Science and Education Publishing

Cite this paper:
Qingyun Wang, Yayuan Xiao. Analysis of Suspects of Terrorist Incidents by Unknown Perpetrator. American Journal of Applied Mathematics and Statistics. 2019; 7(5):161-166. doi: 10.12691/ajams-7-5-1.

Correspondence to: Yayuan  Xiao, Department of Mathematical Sciences, Ball State University, Muncie, USA, 47306. Email: yxiao3@bsu.edu

Abstract

Terrorism is a common threat to humanity. An in-depth analysis of data related to terrorist attacks provides a deeper knowledge of terrorism that is valuable to counter-terrorism. In this paper, we analyzed the terrorist incident data in the United States in 1998-2017. Through cluster analysis, we speculated the possible suspects of terrorist incidents by unknown perpetrators and analyzed the credibility of those results.

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