- Išsiųsime per 10–14 d.d.
/https://libri-media.knygos-static.lt/fd5ae476-2fb7-4d39-9021-eb60195b5567/1)
- Autorius: Raphael Röttinger
- Leidėjas: Verlag f. Polizeiwissens.
- Metai: 2025
- Puslapiai: 28
- ISBN-10: 3866768958
- ISBN-13: 9783866768956
- Formatas: 14.3 x 20.6 x 0.5 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -25 % nuolaida šiai knygai su kodu: ENG25
Data Analysis and Risk Modelling for Terrorism Prevention: (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
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.
EXTRA 25 % nuolaida su kodu: ENG25
Akcija baigiasi už 5d.17:11:32
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Raphael Röttinger
- Leidėjas: Verlag f. Polizeiwissens.
- Metai: 2025
- Puslapiai: 28
- ISBN-10: 3866768958
- ISBN-13: 9783866768956
- Formatas: 14.3 x 20.6 x 0.5 cm, minkšti viršeliai
- Kalba: Anglų Anglų
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.
Atsiliepimai