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Open Source Intelligence and Cyber Crime : Social Media Analytics.
・ISBN 978-3-030-41250-0 hard EUR 109.99
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| 著者・編者 | Tayebi, Mohammad A. / Glaesser, Uwe et al. (eds.), |
|---|---|
| シリーズ | Lecture Notes in Social Networks |
| 出版社 | (Springer, GW) |
| 出版年月 | 2020 |
| ページ数 | 250 pp. |
| 言語 | ENG |
| ニュース番号 | <658-L1727 658-P3302> |
解説
This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics.
Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.