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Data Analysis and Risk Modelling for Terrorism Prevention:

Challenges, Methods, and Ethical Implications
Buch | Softcover
28 Seiten
2025
Verlag für Polizeiwissenschaft
978-3-86676-895-6 (ISBN)

Lese- und Medienproben

Data Analysis and Risk Modelling for Terrorism Prevention: - Raphael Röttinger
CHF 27,70 inkl. MwSt
In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, methods, and ethical implications of utilizing data science and artificial intelligence (AI) in counter-terrorism efforts. By exploring advanced analytical models, the work provides insights into identifying patterns in terrorist activities and predicting potential threats. Focused on the integration of big data, machine learning, and real-time analysis, the book outlines how these technologies can assist in proactive terrorism prevention. It also delves into the ethical considerations that arise from collecting and analyzing sensitive data in such high-stakes situations.


1Introduction
1.1Problem definition and research question
1.2Objectives and approach
2Literature research - data analysis in the context of terrorism prevention
2.1Data science and artificial intelligence
2.2Data analysis models
2.3Modern terrorism
2.4Factors in the prevention of terrorism
2.5Challenges in data analysis
2.6Hypotheses and concept of the work
3Methodology and data basis
3.1Data records
3.2Methodological approach
3.3Research ethics
4Analysis model and interpretation
4.1Data processing and preparation
4.2Cluster and classification analysis
4.3Deep learning
4.4Visualisation of the results
5Discussion
5.1Feasibility and technical realisation
5.2Interpretation of the results and recommendations for action
6Conclusion

IVBibliography

Erscheinungsdatum
Sprache englisch
Maße 148 x 210 mm
Themenwelt Mathematik / Informatik Informatik
Recht / Steuern
Schlagworte Künstliche Intelligenz • prevention • terrorism
ISBN-10 3-86676-895-8 / 3866768958
ISBN-13 978-3-86676-895-6 / 9783866768956
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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