TerrorClassify: An Algorithm for Terror Groups Placement Into Hierarchical Categories of Casualties and Consequences-Reference-Cited by-同舟云学术

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TerrorClassify: An Algorithm for Terror Groups Placement Into Hierarchical Categories of Casualties and Consequences

Published:2020-09-02 Issue:4 Volume:15 Page:568-579
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Atsa’am Donald Douglas¹²^ORCID,Wario Ruth¹^ORCID,Okpo Fiona Emokpaire²

Affiliation:

1. Department of Computer Science and Informatics, Faculty of Natural and Agricultural Sciences, University of the Free State, Qwaqwa, South Africa

2. Department of Mathematics, Statistics, and Computer Science, University of Agriculture, Makurdi, Nigeria

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2020.1812475

Reference17 articles.

1. Measuring employees' psychological capital using data mining approach

2. Feature Selection Algorithm Using Relative Odds for Data Mining Classification

3. A New Terrorism Categorization Based on Casualties and Consequences Using Hierarchical Clustering

4. Narco-Terrorism: The Merger of the War on Drugs and the War on Terror

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning approach to formation of earthquake categories using hierarchies of magnitude and consequence to guide emergency management;Data Science and Management;2023-12

2. An ensemble machine learning model for the prediction of danger zones: Towards a global counter-terrorism;Soft Computing Letters;2021-12

3. Adopting the Divide-and-Conquer Strategy for Use of Terrorists in Counterterrorism Through the Stag Hunt Game-Theoretic Environment;Journal of Applied Security Research;2021-05-06

4. Why Do Terrorists Attack Other Terrorists? Knowledge Discovery from the Global Terrorism Database;The International Journal of Intelligence, Security, and Public Affairs;2021-05-04

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