American Journal of Applied Mathematics and Statistics
ISSN (Print): 2328-7306 ISSN (Online): 2328-7292 Website: http://www.sciepub.com/journal/ajams Editor-in-chief: Mohamed Seddeek
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American Journal of Applied Mathematics and Statistics. 2019, 7(5), 161-166
DOI: 10.12691/ajams-7-5-1
Open AccessArticle

Analysis of Suspects of Terrorist Incidents by Unknown Perpetrator

Qingyun Wang1 and Yayuan Xiao2,

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

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

Pub. Date: September 17, 2019

Cite this paper:
Qingyun Wang and 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

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.

Keywords:
terrorist attack suspect incident data cluster k-mode

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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