Open Source Intelligence and Cyber Crime - Social Media Analytics (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	August 2021
First published:	2020
Editors:	Mohammad A. Tayebi • Uwe Glasser • David B Skillicorn
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	251
Edition:	1st ed. 2020
ISBN-13:	978-3-03-041253-1
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Sociology, social studies > Crime & criminology > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-041253-9
Barcode:	9783030412531

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