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Open Source Intelligence and Cyber Crime - Social Media Analytics (Hardcover, 1st ed. 2020): Mohammad A. Tayebi, Uwe Glasser,... Open Source Intelligence and Cyber Crime - Social Media Analytics (Hardcover, 1st ed. 2020)
Mohammad A. Tayebi, Uwe Glasser, David B Skillicorn
R2,977 R2,744 Discovery Miles 27 440 Save R233 (8%) Ships in 9 - 15 working days

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.

Social Network Analysis in Predictive Policing - Concepts, Models and Methods (Paperback, Softcover reprint of the original 1st... Social Network Analysis in Predictive Policing - Concepts, Models and Methods (Paperback, Softcover reprint of the original 1st ed. 2016)
Mohammad A. Tayebi, Uwe Glasser
R2,957 Discovery Miles 29 570 Ships in 10 - 15 working days

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks-networks of offenders who have committed crimes together-have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

Social Network Analysis in Predictive Policing - Concepts, Models and Methods (Hardcover, 1st ed. 2016): Mohammad A. Tayebi,... Social Network Analysis in Predictive Policing - Concepts, Models and Methods (Hardcover, 1st ed. 2016)
Mohammad A. Tayebi, Uwe Glasser
R3,566 R2,836 Discovery Miles 28 360 Save R730 (20%) Ships in 12 - 17 working days

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks-networks of offenders who have committed crimes together-have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

Open Source Intelligence and Cyber Crime - Social Media Analytics (Paperback, 1st ed. 2020): Mohammad A. Tayebi, Uwe Glasser,... Open Source Intelligence and Cyber Crime - Social Media Analytics (Paperback, 1st ed. 2020)
Mohammad A. Tayebi, Uwe Glasser, David B Skillicorn
R2,437 Discovery Miles 24 370 Ships in 10 - 15 working days

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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