Open source intelligence extraction for terrorism‐related information: A review-Reference-Cited by-同舟云学术

Open source intelligence extraction for terrorism‐related information: A review

Published:2022-07-07 Issue:5 Volume:12 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Min & Knowl

Author:

Chaudhary Megha¹^ORCID,Bansal Divya¹

Affiliation:

1. Cyber Security Research Centre Punjab Engineering College (Deemed to be University) Chandigarh India

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1473

Reference140 articles.

1. A study of the effects of textual features on prediction of terrorism attacks in GTD dataset;Abdalsalam M.;Engineering Letters,2021

2. Agarwal P. Sharma M. &Chandra S.(2019).Comparison of machine learning approaches in the prediction of terrorist attacks[Conference presentation]. 2019 12th International Conference on Contemporary Computing Noida India IC3 2019.https://doi.org/10.1109/IC3.2019.8844904

3. Open source social media intelligence for enabling government applications

4. A topical crawler for uncovering hidden communities of extremist micro‐bloggers on tumblr;Agarwal S.;CEUR Workshop Proceedings,2015

5. Agarwal S. &Sureka A.(2015b).Applying social media intelligence for predicting and identifying on‐line radicalization and civil unrest oriented threats. arXiv:1511.06858v1 1–18.http://arxiv.org/abs/1511.06858

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. Data Collection in Online Terrorism and Extremism Research: Strengths, Limitations, and Future Directions;Studies in Conflict & Terrorism;2024-06-18

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

3. AI-Driven Counter-Terrorism: Enhancing Global Security Through Advanced Predictive Analytics;IEEE Access;2023

4. The use of big data and data mining in the investigation of criminal offences;Revista Amazonia Investiga;2022-10-18