首页    期刊浏览 2025年07月12日 星期六
登录注册

文章基本信息

  • 标题:Analysis of Suspects of Terrorist Incidents by Unknown Perpetrator
  • 本地全文:下载
  • 作者:Qingyun Wang ; Yayuan Xiao
  • 期刊名称:American Journal of Applied Mathematics and Statistics
  • 印刷版ISSN:2328-7306
  • 电子版ISSN:2328-7292
  • 出版年度:2019
  • 卷号:7
  • 期号:5
  • 页码:161-166
  • DOI:10.12691/ajams-7-5-1
  • 出版社:Science and Education Publishing
  • 摘要: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.
  • 关键词:terrorist attack; suspect; incident data; cluster; k-mode
国家哲学社会科学文献中心版权所有