eBook: Open Source Intelligence and Cyber Crime: Social Media Analytics (DRM PDF)
 
電子書格式: DRM PDF
作者: Mohammad A. Tayebi, Uwe Glasser, David B. Skillicorn 
系列: Lecture Notes in Social Networks
分類: Social research & statistics ,
Crime & criminology ,
Data mining ,
Computer security ,
Machine learning  
書城編號: 22096830


售價: $910.00

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製造商: Springer International Publishing
出版日期: 2020/07/31
ISBN: 9783030412517
 
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商品簡介
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.
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Uwe Glasser 作者作品表

Rigorous State-Based Methods: 9th International Conference, Abz 2023, Nancy, France, May 30- June 2, 2023, Proceedings (2023) (Paperback)

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David B. Skillicorn 作者作品表

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eBook: Understanding High-Dimensional Spaces (DRM PDF)

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