Machine Learning Techniques to Predict Terrorist Attacks (true)
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size19.9 MB
- Uploaded Byfreecoursewb
- Downloads54
- Last checkedJul. 08th '25
- Date uploadedJul. 07th '25
- Seeders 7
- Leechers5
Machine Learning Techniques to Predict Terrorist Attacks (true)
https://WebToolTip.com
English | 2025 | ISBN: 9783031931741 | 142 pages | true EPUB PDF | 20 MB
One of the most influential actors in spreading Islamist violence across the Sahel is Jama’at Nasr Al Islam Wal Muslimin (JNIM).This book provides the first systematic quantitative analysis of JNIM’s behavior by analyzing a 12-year database of JNIM’s attacks and the environment surrounding JNIM. This book leverages AI/ML predictive models to accurately predict almost 40 types of attacks using over 80 independent variables.
This book describes a set of temporal probabilistic rules that state that when the environment in which the group operates satisfies some conditions, then an attack of a certain type will likely occur in the next N months. This provides a deep, easy to comprehend understanding of the conditions under which JNIM carries various kinds of attacks up to 6 months into the future.
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- 978-3-031-93174-1.epub (10.7 MB)
- 978-3-031-93174-1.pdf (9.2 MB)
- Bonus Resources.txt (0.1 KB)
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