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| TERRORISM INFORMATICS Terrorism informatics [Documento electrónico] : knowledge management and data mining for homeland security / ed. Hsinchun Chen ..[et al.].- 1st ed.- New York : Springer, 2008.- 1 CD-ROM ; 12 cm. - (Integrated Series In Information Systems) Ficheiro de 31 MB em formato PDF (590 p.). ISBN 978-0-387-71613-8 TERRORISMO INTERNACIONAL, ORGANIZAÇÃO TERRORISTA, GESTÃO DA INFORMAÇÃO, PROCESSAMENTO DE DADOS, INTERROGATÓRIO POLICIAL, INTERNET, JIHAD ISLÂMICA, ARMA BIOLÓGICA, CRIME INFORMÁTICO Unit I. Methodological issues in terrorism research. Chapter 1. Domain Mapping of Contemporary Terrorism Research. Chapter 2. Research on Terrorism: A Review of the Impact of 9/11 and the Global War on Terrorism. Chapter 3. Who Are the Key Figures in "Terrorism Studies"?. Chapter 4. Interviewing Terrorists: A Case for Primary Research. Chapter 5. Resolving a Terrorist Insurgency by Addressing Its Root Causes. Chapter 6. A Quantitative Analysis of "Root Causes of Conflict". Chapter 7. Countering Terrorism with Knowledge. Chapter 8. Toward a Target-specific Method of Threat Assessment. Chapter 9. Identifying and Exploiting Group Learning Patterns for Counterterrorism. Chapter 10. Homeland Insecurity: Data Mining, Privacy, Disclosure Limitation and the Hunt for Terrorists. Unit II. Terrorism informatics to support prevention, detection, and response. Chapter 11. Case Study of Jihad on the Web: A Web Mining Approach. Chapter 12. Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System: A Three Region Comparison Study. Chapter 13. Content Analysis of Jihadi Extremist Groups' Videos. Chapter 14. Analysis of Affect Intensities in Extremist Group Forums. Chapter 15. Document Selection for Extracting Entity and Relationship Instances of Terrorist Events. Chapter 16. Data Distortion Methods and Metrics in a Terrorist Analysis System. Chapter 17. Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS). Chapter 18. Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-terrorism Weapons. Chapter 19. Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content. Chapter 20. Individual and Collective Analysis of Anomalies in Message Traffic. Chapter 21. Addressing Insider Threat through Cost-Sensitive Document Classification. Chapter 22. Using Web Mining and Social Network Analysis to Study the Emergence of Cyber Communities in Blogs. Chapter 23. Automatic Extraction of Deceptive Behavioral Cues from Video. Chapter 24. Situational Awareness Technologies for Disaster Response. Author Index. Subject Index. |