Terrorism Informatics Knowledge Management and Data Mining for Homeland Security /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Hsinchun (Επιμελητής έκδοσης), Reid, Edna (Επιμελητής έκδοσης), Sinai, Joshua (Επιμελητής έκδοσης), Silke, Andrew (Επιμελητής έκδοσης), Ganor, Boaz (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2008.
• Σειρά: Integrated Series In Information Systems, 18
• Θέματα: Business.; Information technology.; Business > Data processing.; Political science.; Data structures (Computer science).; Computers.; E-commerce.; Business and Management.; IT in Business.; Data Structures, Cryptology and Information Theory.; Information Systems and Communication Service.; e-Commerce/e-business.; Political Science.

Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The wide var...

Πίνακας περιεχομένων:

• Methodological Issues in Terrorism Research
• Domain Mapping of Contemporary Terrorism Research
• Research on Terrorism
• Who Are the Key Figures in ‘Terrorism Studies’?
• Interviewing Terrorists
• Resolving a Terrorist Insurgency by Addressing Its Root Causes
• A Quantitative Analysis of ‘Root Causes of Conflict’
• Countering Terrorism with Knowledge
• Toward a Target-specific Method of Threat Assessment
• Identifying and Exploiting Group Learning Patterns for Counterterrorism
• Homeland Insecurity
• Terrorism Informatics to Support Prevention, Detection, and Response
• Case Study of Jihad on the Web
• Studying Global Extremist Organizations' Internet Presence Using the DarkWeb Attribute System
• Content Analysis of Jihadi Extremist Groups' Videos
• Analysis of Affect Intensities in Extremist Group Forums
• Document Selection for Extracting Entity and Relationship Instances of Terrorist Events
• Data Distortion Methods and Metrics in a Terrorist Analysis System
• Content-Based Detection of Terrorists Browsing the Web Using an Advanced Terror Detection System (ATDS)
• Text Mining the Biomedical Literature for Identification of Potential Virus/Bacterium as Bio-Terrorism Weapons
• Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
• Individual and Collective Analysis of Anomalies in Message Traffic
• Addressing Insider Threat through Cost-Sensitive Document Classification
• Using Web Mining and Social Network Analysis to Study The Emergence of Cyber Communities In Blogs
• Automatic Extraction of Deceptive Behavioral Cues from Video
• Situational Awareness Technologies for Disaster Response.