Analysis of Suspects of Terrorist Incidents by Unknown Perpetrator

Qingyun Wang¹ and Yayuan Xiao^2,

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

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

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

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