Comparing Classification Trees to Discern Patterns of Terrorism*-Reference-Cited by-同舟云学术

Comparing Classification Trees to Discern Patterns of Terrorism*

Published:2019-04-17 Issue:4 Volume:100 Page:1420-1444
ISSN:0038-4941
Container-title:Social Science Quarterly
language:en
Short-container-title:Social Science Quarterly

Author:

Saiya Nilay¹,Scime Anthony²

Affiliation:

1. Nanyang Technological University

2. The College at Brockport, State University of New York

Publisher

Wiley

Subject

General Social Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ssqu.12629

Reference54 articles.

1. Why Democracies Make Superior Counterterrorists

2. The roles of foreign aid and education in the war on terror

3. Bang James T. AtinBasuchoudhary John A.David andAniruddhaMitra.2017. “Predicting Terrorism: A Machine Learning Approach.”Working Paper. Available at 〈https://www.researchgate.net/project/Applying-Machine-Learning-Techniques-to-predict-conflict-terrorism-and-growth〉.

4. The tree of political violence: a GMERT analysis

5. Predicting Terrorism with Machine Learning: Lessons from “Predicting Terrorism: A Machine Learning Approach”

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. Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset;Computer Modeling in Engineering & Sciences;2024

2. Faith-Based Discrimination and Violent Religious Hostilities: A Global Analysis;Journal of Conflict Resolution;2023-07-18

3. Did Religious Freedom Exacerbate COVID-19? A Global Analysis;Journal of Religion and Health;2023-04-04

4. Democracy’s Ambivalent Effect on Terrorism;Journal of Conflict Resolution;2022-12-04